Note: the module "R" cannot be unloaded because it was not loaded. WARNING: ignoring environment value of R_HOME R Under development (unstable) (2025-12-13 r89166) -- "Unsuffered Consequences" Copyright (C) 2025 The R Foundation for Statistical Computing Platform: x86_64-pc-linux-gnu R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > cargs <- commandArgs(trailingOnly=TRUE) > if(length(cargs)==0){ + ## before running interactively, make sure to start emacs/R with + ## environment defined in /scratch/...check_one.sh, particularly + ## R_LIBS_USER=/tmp/... otherwise we get error when installing + ## data.table. + base <- "/scratch/th798/data.table-revdeps/*" + cargs <- c( + Sys.glob(file.path(base,"deps.csv")), + "349", + Sys.glob(file.path(base, "data.table_release_*tar.gz")), + Sys.glob(file.path(base, "data.table_master_*tar.gz")) + ) + } > names(cargs) <- c("deps.csv", "task.str", "release", "master") > dput(cargs) c(deps.csv = "/scratch/th798/data.table-revdeps/2025-12-14/deps.csv", task.str = "861", release = "/scratch/th798/data.table-revdeps/2025-12-14/data.table_release_1.17.8.tar.gz", master = "/scratch/th798/data.table-revdeps/2025-12-14/data.table_master_1.17.99.6329d94b83b72bb1f05dc2a10374e84a61ff950d.tar.gz" ) > (task.dir <- dirname(.libPaths()[1]))#should be /tmp/th798/slurmid/R-vers [1] "/tmp/th798/25890912/R-devel/861" > if(requireNamespace("R.cache"))R.cache::getCachePath() Loading required namespace: R.cache [1] "/tmp/th798/25890912/R-devel/861/R.cache" > task.id <- as.integer(cargs[["task.str"]]) > deps.df <- read.csv(cargs[["deps.csv"]]) > (rev.dep <- deps.df$Package[task.id]) [1] "mlr3learners" > job.dir <- file.path(dirname(cargs[["deps.csv"]]), "tasks", task.id) > setwd(task.dir) > .libPaths() [1] "/tmp/th798/25890912/R-devel/861/library" [2] "/projects/genomic-ml/R/R-devel/library" > options(repos=c(#this should be in ~/.Rprofile too. + CRAN="http://cloud.r-project.org")) > print(Sys.time()) [1] "2025-12-14 00:59:25 MST" > install.time <- system.time({ + install.packages(rev.dep, dep=TRUE) + }) Installing package into '/tmp/th798/25890912/R-devel/861/library' (as 'lib' is unspecified) also installing the dependencies 'evaluate', 'mlr3measures', 'mlr3misc', 'Rcpp', 'RcppEigen', 'xfun', 'yaml', 'mlr3', 'DiceKriging', 'glmnet', 'knitr', 'ranger', 'rgenoud', 'rmarkdown', 'xgboost' trying URL 'http://cloud.r-project.org/src/contrib/evaluate_1.0.5.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/mlr3measures_1.2.0.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/mlr3misc_0.19.0.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/4.6.0/Other/Rcpp_1.1.0.8.1.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/RcppEigen_0.3.4.0.2.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/xfun_0.54.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/yaml_2.3.12.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/mlr3_1.3.0.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/DiceKriging_1.6.1.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/glmnet_4.1-10.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/knitr_1.50.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/ranger_0.17.0.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/rgenoud_5.9-0.11.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/rmarkdown_2.30.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/xgboost_3.1.2.1.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/mlr3learners_0.14.0.tar.gz' * installing *source* package 'evaluate' ... ** this is package 'evaluate' version '1.0.5' ** package 'evaluate' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (evaluate) * installing *source* package 'mlr3misc' ... ** this is package 'mlr3misc' version '0.19.0' ** package 'mlr3misc' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c count_missing.c -o count_missing.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c keep_in_bounds.c -o keep_in_bounds.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c to_decimal.c -o to_decimal.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c which_max.c -o which_max.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o mlr3misc.so count_missing.o init.o keep_in_bounds.o to_decimal.o which_max.o installing to /tmp/th798/25890912/R-devel/861/library/00LOCK-mlr3misc/00new/mlr3misc/libs ** R ** byte-compile and prepare package for lazy loading Error in dyn.load(file, DLLpath = DLLpath, ...) : unable to load shared object '/projects/genomic-ml/R/R-devel/library/data.table/libs/data_table.so': /projects/genomic-ml/R/R-devel/library/data.table/libs/data_table.so: undefined symbol: Rf_GetOption Calls: ... namespaceImport -> loadNamespace -> library.dynam -> dyn.load Execution halted ERROR: lazy loading failed for package 'mlr3misc' * removing '/tmp/th798/25890912/R-devel/861/library/mlr3misc' * installing *source* package 'Rcpp' ... ** this is package 'Rcpp' version '1.1.0.8.1' ** package 'Rcpp' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include/ -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c api.cpp -o api.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include/ -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c attributes.cpp -o attributes.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include/ -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c barrier.cpp -o barrier.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include/ -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c date.cpp -o date.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include/ -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c module.cpp -o module.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I../inst/include/ -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rcpp_init.cpp -o rcpp_init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o Rcpp.so api.o attributes.o barrier.o date.o module.o rcpp_init.o installing to /tmp/th798/25890912/R-devel/861/library/00LOCK-Rcpp/00new/Rcpp/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Rcpp) * installing *source* package 'xfun' ... ** this is package 'xfun' version '0.54' ** package 'xfun' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c base64.c -o base64.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rand_lcg.c -o rand_lcg.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o xfun.so base64.o init.o rand_lcg.o installing to /tmp/th798/25890912/R-devel/861/library/00LOCK-xfun/00new/xfun/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (xfun) * installing *source* package 'yaml' ... ** this is package 'yaml' version '2.3.12' ** package 'yaml' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c api.c -o api.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dumper.c -o dumper.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c emitter.c -o emitter.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c implicit.c -o implicit.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c loader.c -o loader.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c parser.c -o parser.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c r_emit.c -o r_emit.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c r_ext.c -o r_ext.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c r_parse.c -o r_parse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reader.c -o reader.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c scanner.c -o scanner.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I. -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c writer.c -o writer.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o yaml.so api.o dumper.o emitter.o implicit.o loader.o parser.o r_emit.o r_ext.o r_parse.o reader.o scanner.o writer.o installing to /tmp/th798/25890912/R-devel/861/library/00LOCK-yaml/00new/yaml/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (yaml) * installing *source* package 'DiceKriging' ... ** this is package 'DiceKriging' version '1.6.1' ** package 'DiceKriging' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c CovFuns.c -o CovFuns.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Scaling.c -o Scaling.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o DiceKriging.so CovFuns.o Scaling.o init.o installing to /tmp/th798/25890912/R-devel/861/library/00LOCK-DiceKriging/00new/DiceKriging/libs ** R ** inst ** byte-compile and prepare package for lazy loading Note: ... may be used in an incorrect context ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (DiceKriging) * installing *source* package 'rgenoud' ... ** this is package 'rgenoud' version '5.9-0.11' ** package 'rgenoud' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c change_order.cpp -o change_order.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c eval.cpp -o eval.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c evaluate.cpp -o evaluate.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frange_ran.cpp -o frange_ran.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c genoud.cpp -o genoud.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gradient.cpp -o gradient.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c math.cpp -o math.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c multiply.cpp -o multiply.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c numerics.cpp -o numerics.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c operators.cpp -o operators.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c print_format.cpp -o print_format.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rgenoud.cpp -o rgenoud.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o rgenoud.so change_order.o eval.o evaluate.o frange_ran.o genoud.o gradient.o init.o math.o multiply.o numerics.o operators.o print_format.o rgenoud.o installing to /tmp/th798/25890912/R-devel/861/library/00LOCK-rgenoud/00new/rgenoud/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rgenoud) * installing *source* package 'xgboost' ... ** this is package 'xgboost' version '3.1.2.1' ** package 'xgboost' successfully unpacked and MD5 sums checked ** using staged installation configure: Checking if/where backtrace is available checking whether the C++ compiler works... yes checking for C++ compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether the compiler supports GNU C++... yes checking whether /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 accepts -g... yes checking for /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 option to enable C++11 features... none needed checking for backtrace in -lexecinfo... no checking for backtrace... yes configure: Checking whether fopen64 is available checking for fopen64... yes configure: Endian detection checking for stdio.h... yes checking for stdlib.h... yes checking for string.h... yes checking for inttypes.h... yes checking for stdint.h... yes checking for strings.h... yes checking for sys/stat.h... yes checking for sys/types.h... yes checking for unistd.h... yes configure: Checking system endianness as USE_LITTLE_ENDIAN is unset checking whether byte ordering is bigendian... no using little endian configure: Checking for prefetch builtin Doesn't have __builtin_prefetch configure: Checking for mm_prefetch Has _mm_prefetch configure: creating ./config.status config.status: creating src/Makevars config.status: creating src/config.h config.status: src/config.h is unchanged ** libs Makevars:22: -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 Makevars:22: -DXGBOOST_STRICT_R_MODE=1 Makevars:22: -DDMLC_LOG_BEFORE_THROW=0 Makevars:22: -DDMLC_ENABLE_STD_THREAD=1 Makevars:22: -DDMLC_DISABLE_STDIN=1 Makevars:22: -DDMLC_LOG_CUSTOMIZE=1 using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' using C++17 Makevars:22: -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 Makevars:22: -DXGBOOST_STRICT_R_MODE=1 Makevars:22: -DDMLC_LOG_BEFORE_THROW=0 Makevars:22: -DDMLC_ENABLE_STD_THREAD=1 Makevars:22: -DDMLC_DISABLE_STDIN=1 Makevars:22: -DDMLC_LOG_CUSTOMIZE=1 /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xgboost_R.cc -o xgboost_R.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xgboost_custom.cc -o xgboost_custom.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/metric/metric.cc -o src/metric/metric.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/metric/elementwise_metric.cc -o src/metric/elementwise_metric.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/metric/multiclass_metric.cc -o src/metric/multiclass_metric.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/metric/rank_metric.cc -o src/metric/rank_metric.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/metric/auc.cc -o src/metric/auc.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/metric/survival_metric.cc -o src/metric/survival_metric.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/objective/objective.cc -o src/objective/objective.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/objective/regression_obj.cc -o src/objective/regression_obj.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/objective/multiclass_obj.cc -o src/objective/multiclass_obj.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/objective/lambdarank_obj.cc -o src/objective/lambdarank_obj.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/objective/hinge.cc -o src/objective/hinge.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/objective/aft_obj.cc -o src/objective/aft_obj.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/objective/adaptive.cc -o src/objective/adaptive.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/objective/init_estimation.cc -o src/objective/init_estimation.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/objective/quantile_obj.cc -o src/objective/quantile_obj.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/gbm/gbm.cc -o src/gbm/gbm.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/gbm/gbtree.cc -o src/gbm/gbtree.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/gbm/gbtree_model.cc -o src/gbm/gbtree_model.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/gbm/gblinear.cc -o src/gbm/gblinear.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/gbm/gblinear_model.cc -o src/gbm/gblinear_model.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/adapter.cc -o src/data/adapter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/array_interface.cc -o src/data/array_interface.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/cat_container.cc -o src/data/cat_container.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/simple_dmatrix.cc -o src/data/simple_dmatrix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/data.cc -o src/data/data.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/sparse_page_raw_format.cc -o src/data/sparse_page_raw_format.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/ellpack_page.cc -o src/data/ellpack_page.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/file_iterator.cc -o src/data/file_iterator.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/gradient_index.cc -o src/data/gradient_index.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/gradient_index_page_source.cc -o src/data/gradient_index_page_source.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/gradient_index_format.cc -o src/data/gradient_index_format.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/validation.cc -o src/data/validation.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/sparse_page_dmatrix.cc -o src/data/sparse_page_dmatrix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/sparse_page_source.cc -o src/data/sparse_page_source.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/extmem_quantile_dmatrix.cc -o src/data/extmem_quantile_dmatrix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/quantile_dmatrix.cc -o src/data/quantile_dmatrix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/batch_utils.cc -o src/data/batch_utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/proxy_dmatrix.cc -o src/data/proxy_dmatrix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/iterative_dmatrix.cc -o src/data/iterative_dmatrix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/predictor/predictor.cc -o src/predictor/predictor.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/predictor/cpu_predictor.cc -o src/predictor/cpu_predictor.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/predictor/treeshap.cc -o src/predictor/treeshap.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/constraints.cc -o src/tree/constraints.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/param.cc -o src/tree/param.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/fit_stump.cc -o src/tree/fit_stump.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/tree_model.cc -o src/tree/tree_model.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/tree_updater.cc -o src/tree/tree_updater.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/multi_target_tree_model.cc -o src/tree/multi_target_tree_model.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/updater_approx.cc -o src/tree/updater_approx.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/updater_colmaker.cc -o src/tree/updater_colmaker.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/updater_prune.cc -o src/tree/updater_prune.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/updater_quantile_hist.cc -o src/tree/updater_quantile_hist.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/updater_refresh.cc -o src/tree/updater_refresh.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/updater_sync.cc -o src/tree/updater_sync.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/hist/hist_param.cc -o src/tree/hist/hist_param.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/hist/histogram.cc -o src/tree/hist/histogram.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/linear/linear_updater.cc -o src/linear/linear_updater.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/linear/updater_coordinate.cc -o src/linear/updater_coordinate.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/linear/updater_shotgun.cc -o src/linear/updater_shotgun.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/learner.cc -o src/learner.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/context.cc -o src/context.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/logging.cc -o src/logging.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/global_config.cc -o src/global_config.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/result.cc -o src/collective/result.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/allgather.cc -o src/collective/allgather.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/allreduce.cc -o src/collective/allreduce.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/broadcast.cc -o src/collective/broadcast.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/comm.cc -o src/collective/comm.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/comm_group.cc -o src/collective/comm_group.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/coll.cc -o src/collective/coll.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/tracker.cc -o src/collective/tracker.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/in_memory_handler.cc -o src/collective/in_memory_handler.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/loop.cc -o src/collective/loop.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/socket.cc -o src/collective/socket.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/charconv.cc -o src/common/charconv.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/column_matrix.cc -o src/common/column_matrix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/common.cc -o src/common/common.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/cuda_rt_utils.cc -o src/common/cuda_rt_utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/error_msg.cc -o src/common/error_msg.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/hist_util.cc -o src/common/hist_util.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/host_device_vector.cc -o src/common/host_device_vector.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/io.cc -o src/common/io.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/json.cc -o src/common/json.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/linalg_op.cc -o src/common/linalg_op.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/numeric.cc -o src/common/numeric.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/optional_weight.cc -o src/common/optional_weight.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/pseudo_huber.cc -o src/common/pseudo_huber.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/quantile.cc -o src/common/quantile.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/random.cc -o src/common/random.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/stats.cc -o src/common/stats.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/survival_util.cc -o src/common/survival_util.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/threading_utils.cc -o src/common/threading_utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/ranking_utils.cc -o src/common/ranking_utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/param_array.cc -o src/common/param_array.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/quantile_loss_utils.cc -o src/common/quantile_loss_utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/timer.cc -o src/common/timer.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/version.cc -o src/common/version.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/c_api/c_api.cc -o src/c_api/c_api.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/c_api/c_api_error.cc -o src/c_api/c_api_error.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c amalgamation/dmlc-minimum0.cc -o amalgamation/dmlc-minimum0.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o xgboost.so ./xgboost_R.o ./xgboost_custom.o ./init.o ./src/metric/metric.o ./src/metric/elementwise_metric.o ./src/metric/multiclass_metric.o ./src/metric/rank_metric.o ./src/metric/auc.o ./src/metric/survival_metric.o ./src/objective/objective.o ./src/objective/regression_obj.o ./src/objective/multiclass_obj.o ./src/objective/lambdarank_obj.o ./src/objective/hinge.o ./src/objective/aft_obj.o ./src/objective/adaptive.o ./src/objective/init_estimation.o ./src/objective/quantile_obj.o ./src/gbm/gbm.o ./src/gbm/gbtree.o ./src/gbm/gbtree_model.o ./src/gbm/gblinear.o ./src/gbm/gblinear_model.o ./src/data/adapter.o ./src/data/array_interface.o ./src/data/cat_container.o ./src/data/simple_dmatrix.o ./src/data/data.o ./src/data/sparse_page_raw_format.o ./src/data/ellpack_page.o ./src/data/file_iterator.o ./src/data/gradient_index.o ./src/data/gradient_index_page_source.o ./src/data/gradient_index_format.o ./src/data/validation.o ./src/data/sparse_page_dmatrix.o ./src/data/sparse_page_source.o ./src/data/extmem_quantile_dmatrix.o ./src/data/quantile_dmatrix.o ./src/data/batch_utils.o ./src/data/proxy_dmatrix.o ./src/data/iterative_dmatrix.o ./src/predictor/predictor.o ./src/predictor/cpu_predictor.o ./src/predictor/treeshap.o ./src/tree/constraints.o ./src/tree/param.o ./src/tree/fit_stump.o ./src/tree/tree_model.o ./src/tree/tree_updater.o ./src/tree/multi_target_tree_model.o ./src/tree/updater_approx.o ./src/tree/updater_colmaker.o ./src/tree/updater_prune.o ./src/tree/updater_quantile_hist.o ./src/tree/updater_refresh.o ./src/tree/updater_sync.o ./src/tree/hist/hist_param.o ./src/tree/hist/histogram.o ./src/linear/linear_updater.o ./src/linear/updater_coordinate.o ./src/linear/updater_shotgun.o ./src/learner.o ./src/context.o ./src/logging.o ./src/global_config.o ./src/collective/result.o ./src/collective/allgather.o ./src/collective/allreduce.o ./src/collective/broadcast.o ./src/collective/comm.o ./src/collective/comm_group.o ./src/collective/coll.o ./src/collective/tracker.o ./src/collective/in_memory_handler.o ./src/collective/loop.o ./src/collective/socket.o ./src/common/charconv.o ./src/common/column_matrix.o ./src/common/common.o ./src/common/cuda_rt_utils.o ./src/common/error_msg.o ./src/common/hist_util.o ./src/common/host_device_vector.o ./src/common/io.o ./src/common/json.o ./src/common/linalg_op.o ./src/common/numeric.o ./src/common/optional_weight.o ./src/common/pseudo_huber.o ./src/common/quantile.o ./src/common/random.o ./src/common/stats.o ./src/common/survival_util.o ./src/common/threading_utils.o ./src/common/ranking_utils.o ./src/common/param_array.o ./src/common/quantile_loss_utils.o ./src/common/timer.o ./src/common/version.o ./src/c_api/c_api.o ./src/c_api/c_api_error.o ./amalgamation/dmlc-minimum0.o -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread installing to /tmp/th798/25890912/R-devel/861/library/00LOCK-xgboost/00new/xgboost/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading Error in dyn.load(file, DLLpath = DLLpath, ...) : unable to load shared object '/projects/genomic-ml/R/R-devel/library/data.table/libs/data_table.so': /projects/genomic-ml/R/R-devel/library/data.table/libs/data_table.so: undefined symbol: Rf_GetOption Calls: ... asNamespace -> loadNamespace -> library.dynam -> dyn.load Execution halted ERROR: lazy loading failed for package 'xgboost' * removing '/tmp/th798/25890912/R-devel/861/library/xgboost' * installing *source* package 'mlr3measures' ... ** this is package 'mlr3measures' version '1.2.0' ** package 'mlr3measures' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlr3measures) * installing *source* package 'RcppEigen' ... ** this is package 'RcppEigen' version '0.3.4.0.2' ** package 'RcppEigen' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/25890912/R-devel/861/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../inst/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppEigen.cpp -o RcppEigen.o In file included from ../inst/include/Eigen/Core:205, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:28, from ../inst/include/RcppEigen.h:25, from RcppEigen.cpp:22: ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from ../inst/include/Eigen/Core:174: ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/Core:165: ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../inst/include/Eigen/Core:271: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ../inst/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ../inst/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/SparseCore:37, from ../inst/include/Eigen/Sparse:26, from ../inst/include/RcppEigenForward.h:29: ../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ../inst/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ../inst/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ../inst/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here ../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/25890912/R-devel/861/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../inst/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o In file included from ../inst/include/Eigen/Core:205, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:28, from ../inst/include/RcppEigen.h:25, from RcppExports.cpp:4: ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from ../inst/include/Eigen/Core:174: ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/Core:165: ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../inst/include/Eigen/Core:271: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ../inst/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ../inst/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/SparseCore:37, from ../inst/include/Eigen/Sparse:26, from ../inst/include/RcppEigenForward.h:29: ../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ../inst/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ../inst/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ../inst/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here ../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/25890912/R-devel/861/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../inst/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fastLm.cpp -o fastLm.o In file included from ../inst/include/Eigen/Core:205, from ../inst/include/Eigen/Dense:1, from ../inst/include/RcppEigenForward.h:28, from ../inst/include/RcppEigen.h:25, from fastLm.h:25, from fastLm.cpp:23: ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ ../inst/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from ../inst/include/Eigen/Core:174: ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ ../inst/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/Core:165: ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ../inst/include/Eigen/Core:271: ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ../inst/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' ../inst/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' ../inst/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/SparseCore:37, from ../inst/include/Eigen/Sparse:26, from ../inst/include/RcppEigenForward.h:29: ../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': ../inst/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' ../inst/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' ../inst/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here ../inst/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' fastLm.h:45:21: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' fastLm.h:45:21: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:70:124: required from 'class Eigen::ColPivHouseholderQR >' fastLm.h:48:42: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:440:19: required from 'class Eigen::ColPivHouseholderQR >' fastLm.h:48:42: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' ../inst/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' fastLm.h:53:16: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>' ../inst/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' fastLm.h:54:16: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' fastLm.h:67:65: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' fastLm.cpp:51:29: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' fastLm.cpp:64:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' ../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >' fastLm.cpp:68:24: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >' fastLm.cpp:74:28: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >' fastLm.cpp:96:28: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>' fastLm.cpp:97:23: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' fastLm.cpp:98:48: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 2>, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 2>, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, -1, -1, false>, 2>, Eigen::Matrix, Eigen::Dense>' ../inst/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix >' fastLm.cpp:99:32: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >' ../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >' fastLm.cpp:99:54: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >' ../inst/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >' fastLm.cpp:99:54: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >' fastLm.cpp:99:54: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2>' fastLm.cpp:99:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>' ../inst/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >' fastLm.cpp:104:13: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, false>, 1>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' fastLm.cpp:106:13: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Block, -1, 1, false>, 0>' fastLm.cpp:106:61: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 2> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 2> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 2>' fastLm.cpp:107:45: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ../inst/include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' ../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' fastLm.cpp:112:57: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' ../inst/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' fastLm.cpp:112:57: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >' fastLm.cpp:112:57: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >' fastLm.cpp:118:39: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' fastLm.cpp:127:45: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> > >' ../inst/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' fastLm.cpp:127:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ../inst/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' fastLm.cpp:129:40: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Solve, 1>, Eigen::Matrix > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Solve, 1>, Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Solve, 1>, Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Solve, 1>, Eigen::Matrix >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Solve, 1>, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/VectorwiseOp.h:43:39: required from 'struct Eigen::internal::traits, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >' ../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from 'struct Eigen::internal::traits, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >' fastLm.cpp:129:62: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >' ../inst/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from 'struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >' fastLm.cpp:129:62: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >' fastLm.cpp:129:62: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' fastLm.cpp:134:18: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> > >' ../inst/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' fastLm.cpp:139:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/Solve.h:86:7: required from 'class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>' ../inst/include/Eigen/src/Core/Solve.h:62:7: required from 'class Eigen::Solve, 1>, Eigen::Matrix >' fastLm.cpp:141:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >' ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>' fastLm.cpp:141:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> > >' ../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1>, Eigen::Matrix >, 0> > >' ../inst/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> >' fastLm.cpp:141:54: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > > >' ../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >' fastLm.cpp:141:61: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' fastLm.cpp:163:25: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ../inst/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper >' fastLm.cpp:163:45: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper > >, 1>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::DiagonalWrapper > >, 1> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::DiagonalWrapper > >, 1> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper > >, 1, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::DiagonalWrapper > >, 1, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::DiagonalWrapper > >, 1>' fastLm.cpp:163:59: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>' fastLm.cpp:164:32: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' ../inst/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' fastLm.cpp:172:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper > >, 1>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper > >, 1> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper > >, 1> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper > >, 1, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper > >, 1, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper > >, 1>' fastLm.cpp:172:62: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from 'class Eigen::Tridiagonalization >' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from 'class Eigen::SelfAdjointEigenSolver >' fastLm.cpp:180:39: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' ../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Array >' fastLm.cpp:182:47: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Array > > >' ../inst/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::Array > >' fastLm.cpp:182:56: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Array > > >, 1>' fastLm.cpp:182:70: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' fastLm.cpp:183:51: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >' fastLm.cpp:230:49: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' fastLm.cpp:235:45: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' fastLm.cpp:235:45: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/util/XprHelper.h:513:38: required from 'struct Eigen::internal::cast_return_type, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from 'struct Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::CastXpr' ../inst/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of 'template typename Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::CastXpr::Type Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >::cast() const [with NewType = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:426:117: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ../inst/include/Eigen/src/Core/util/XprHelper.h:513:38: required from 'struct Eigen::internal::cast_return_type, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from 'struct Eigen::DenseBase >::CastXpr' ../inst/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of 'template typename Eigen::DenseBase >::CastXpr::Type Eigen::DenseBase >::cast() const [with NewType = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:426:117: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:111:59: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' fastLm.cpp:73:35: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:363:86: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:363:86: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' ../inst/include/Eigen/src/Cholesky/LLT.h:448:33: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' ../inst/include/Eigen/src/Cholesky/LLT.h:448:43: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ../inst/include/Eigen/src/Cholesky/LLT.h:448:91: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>, 1, -1, false>' ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 1, -1, false>, -1>' ../inst/include/Eigen/src/Cholesky/LLT.h:448:101: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:34: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' ../inst/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' fastLm.cpp:233:44: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:330: ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' fastLm.cpp:74:16: required from here ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' fastLm.cpp:74:16: required from here ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits': ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from 'struct Eigen::internal::gebp_kernel, 4, 4, false, false>' ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' fastLm.cpp:74:16: required from here ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 384 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:521:73: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:549:27: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:394:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1>' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:82: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:55: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ../inst/include/Eigen/src/Cholesky/LDLT.h:325:19: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0>, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0>, -1, 1, false>' ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, 0>, -1>' ../inst/include/Eigen/src/Cholesky/LDLT.h:325:26: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >' ../inst/include/Eigen/src/Cholesky/LDLT.h:325:43: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, false>' ../inst/include/Eigen/src/Cholesky/LDLT.h:352:35: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ../inst/include/Eigen/src/Cholesky/LDLT.h:358:80: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>' ../inst/include/Eigen/src/Cholesky/LDLT.h:358:67: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' ../inst/include/Eigen/src/Core/Product.h:126:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>' ../inst/include/Eigen/src/Cholesky/LDLT.h:359:35: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>' ../inst/include/Eigen/src/Cholesky/LDLT.h:361:32: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Cholesky/LDLT.h:379:56: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ../inst/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, false> > >' ../inst/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, false> >' ../inst/include/Eigen/src/Cholesky/LDLT.h:387:32: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ../inst/include/Eigen/src/SVD/JacobiSVD.h:691:29: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ../inst/include/Eigen/src/SVD/JacobiSVD.h:691:29: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ../inst/include/Eigen/src/SVD/JacobiSVD.h:697:60: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 0> >' ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, const Eigen::Matrix >, 0>' ../inst/include/Eigen/src/SVD/JacobiSVD.h:705:61: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >' ../inst/include/Eigen/src/SVD/JacobiSVD.h:765:62: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]': ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' fastLm.cpp:74:16: required from here ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' fastLm.cpp:74:16: required from here ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]': ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' fastLm.cpp:74:16: required from here ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]' ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' fastLm.cpp:74:16: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]' ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' fastLm.cpp:74:16: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>' ../inst/include/Eigen/src/Householder/Householder.h:45:80: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ../inst/include/Eigen/src/Householder/Householder.h:127:63: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>, -1, -1, false>' ../inst/include/Eigen/src/Householder/Householder.h:128:82: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Householder/Householder.h:129:38: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>' ../inst/include/Eigen/src/Householder/Householder.h:129:41: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>, 1, -1, false>' ../inst/include/Eigen/src/Householder/Householder.h:130:21: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Householder/Householder.h:131:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Householder/Householder.h:131:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Householder/Householder.h:132:29: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' ../inst/include/Eigen/src/Householder/Householder.h:132:41: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:90:75: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' ../inst/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, -1, -1, false> >, 6>' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:93: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:96: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 2>, Eigen::Matrix, 0>' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:101:66: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ../inst/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView >, 1>' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:63: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1>, Eigen::Matrix, 0>' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:66: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:22: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ../inst/include/Eigen/src/Householder/Householder.h:127:63: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ../inst/include/Eigen/src/Householder/Householder.h:127:63: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>, -1, -1, false>' ../inst/include/Eigen/src/Householder/Householder.h:128:82: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >' ../inst/include/Eigen/src/Householder/Householder.h:129:38: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 3>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>' ../inst/include/Eigen/src/Householder/Householder.h:129:41: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, -1, false>, 1, -1, false>' ../inst/include/Eigen/src/Householder/Householder.h:130:21: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Householder/Householder.h:131:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Householder/Householder.h:131:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >' ../inst/include/Eigen/src/Householder/Householder.h:132:29: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>' ../inst/include/Eigen/src/Householder/Householder.h:132:41: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Cholesky/LLT.h:448:74: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/Dot.h:221:22: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Cholesky/LLT.h:448:125: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:277: ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' ../inst/include/Eigen/src/Core/BooleanRedux.h:84:50: required from 'bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]' ../inst/include/Eigen/src/Cholesky/LDLT.h:379:74: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' ../inst/include/Eigen/src/Core/BooleanRedux.h:84:50: required from 'bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]' ../inst/include/Eigen/src/Cholesky/LDLT.h:379:74: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' ../inst/include/Eigen/src/Core/BooleanRedux.h:84:50: required from 'bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]' ../inst/include/Eigen/src/Cholesky/LDLT.h:387:50: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false> >' ../inst/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/TriangularMatrix.h:187:58: required from 'class Eigen::TriangularView, -1, -1, false> >, 1>' ../inst/include/Eigen/src/SVD/JacobiSVD.h:231:121: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/misc/RealSvd2x2.h:25:26: required from 'void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1> >' ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, -1>' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Array; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Array; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]' fastLm.cpp:66:25: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:507:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/Householder.h:76:64: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ../inst/include/Eigen/src/Householder/Householder.h:93:22: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:20: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:28: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:70: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:78: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:90: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:64:84: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:64:57: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ../inst/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from 'Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:123:11: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:291:12: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:291:20: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:96: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 2>, Eigen::Matrix, 0>' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:101:66: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, 1>, Eigen::Matrix, 0>' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:66: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:22: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>' ../inst/include/Eigen/src/Cholesky/LLT.h:332:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:323:35: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Cholesky/LLT.h:332:58: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>' ../inst/include/Eigen/src/Cholesky/LLT.h:332:45: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:129:63: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:167:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Product.h:175:24: required from 'Eigen::ProductImpl::Scalar Eigen::ProductImpl::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Option = 0; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/DenseBase.h:530:29: required from 'Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>; CoeffReturnType = double]' ../inst/include/Eigen/src/Cholesky/LDLT.h:359:56: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, 2, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, 2, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, 2, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, 2, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 2, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, 2, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Jacobi/Jacobi.h:297:10: required from 'void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]' ../inst/include/Eigen/src/misc/RealSvd2x2.h:46:19: required from 'void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../inst/include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, 1, 2, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 2, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, 2, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 1, 2, false>, 1>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, 2, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Jacobi/Jacobi.h:297:10: required from 'void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]' ../inst/include/Eigen/src/misc/RealSvd2x2.h:46:19: required from 'void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ../inst/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 1, -1, false>; VectorY = Eigen::Block, 1, -1, false>; OtherScalar = double]' ../inst/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from 'void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:733:40: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Jacobi/Jacobi.h:313:10: required from 'void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: required from 'void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]' ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int UpLo = 1; typename MatrixType::Scalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; _MatrixType = Eigen::Matrix; unsigned int UpLo = 1; Scalar = double]' fastLm.cpp:74:16: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ../inst/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, 1, -1, false> >' ../inst/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, 1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]' ../inst/include/Eigen/src/Core/Visitor.h:374:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/DenseBase.h:501:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:521:90: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:78:71: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Matrix; Functor = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Matrix; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:851:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]' ../inst/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' fastLm.cpp:106:61: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Householder/Householder.h:132:29: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Cholesky/LLT.h:448:125: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >' ../inst/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Cholesky/LLT.h:328:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Cholesky/LLT.h:328:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0>, -1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/Visitor.h:79:51: required from 'class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/Visitor.h:123:17: required from 'void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >]' ../inst/include/Eigen/src/Core/Visitor.h:374:14: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/DenseBase.h:501:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Cholesky/LDLT.h:325:54: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from 'static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Householder/Householder.h:169:25: required from 'void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, 2, false> >': ../inst/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 1, 2, false>; VectorY = Eigen::Block, 1, 2, false>; OtherScalar = double]' ../inst/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from 'void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]' ../inst/include/Eigen/src/misc/RealSvd2x2.h:46:19: required from 'void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': ../inst/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from 'void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]' ../inst/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from 'void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' fastLm.cpp:233:44: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': ../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, 1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:96:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' ../inst/include/Eigen/src/Householder/Householder.h:93:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>': ../inst/include/Eigen/src/Core/products/TriangularSolverMatrix.h:232:74: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ../inst/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ../inst/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>': ../inst/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ../inst/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ../inst/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 1; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:679:71: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/Dot.h:37:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:511:85: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/Householder.h:78:71: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, 1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, 1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >, 2>; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >, 2>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:99:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, 3>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]' ../inst/include/Eigen/src/Householder/Householder.h:79:20: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from 'Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]' ../inst/include/Eigen/src/Householder/Householder.h:79:20: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:221:28: required from 'static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:269:52: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Cholesky/LLT.h:448:74: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:328:36: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]': ../inst/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]' ../inst/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]' ../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]' ../inst/include/Eigen/src/Cholesky/LLT.h:364:96: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]': ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from 'static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from 'static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Block, -1, -1, false>; OtherType = Eigen::Block, -1, -1, false>; int UpLo = 1; typename MatrixType::Scalar = double]' ../inst/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from 'Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]' ../inst/include/Eigen/src/Cholesky/LLT.h:365:64: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >' ../inst/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Product.h:175:24: required from 'Eigen::ProductImpl::Scalar Eigen::ProductImpl::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Option = 0; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/DenseBase.h:530:29: required from 'Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>; CoeffReturnType = double]' ../inst/include/Eigen/src/Cholesky/LDLT.h:359:56: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 2>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 2> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 2> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 2, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 2, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 2>' ../inst/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:139:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 2>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Matrix, 2> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Matrix, 2> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Matrix, 2, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Matrix, 2, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Matrix, 2>' ../inst/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:139:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:507:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Block, 1, 1, false>]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:606:103: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:96:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = mul_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::mul_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = mul_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:28: required from 'Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:123:11: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' ../inst/include/Eigen/src/Householder/Householder.h:130:9: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false> >': ../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:43:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:43:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:78:71: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:73:45: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:73:45: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 2, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 2, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 2, -1, true> >' ../inst/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 2, -1, true, false>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 2, -1, true, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 2, -1, true>' ../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >]' ../inst/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Block, -1, 1, false>]' fastLm.cpp:112:58: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 2, -1, true> >': ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 2, -1, true> >' ../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/CoreEvaluators.h:603:81: required from 'PacketType Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; UnaryOp = Eigen::internal::scalar_sqrt_op; ArgType = const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::CwiseUnaryOp::Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator, -1, 1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> > >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:437:75: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >]' ../inst/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Block, -1, 1, false>]' fastLm.cpp:112:58: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Scalar = double]' ../inst/include/Eigen/src/Cholesky/LLT.h:333:21: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:333: ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ../inst/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ../inst/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from 'struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' ../inst/include/Eigen/src/Core/GeneralProduct.h:253:134: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/GeneralProduct.h:296:40: required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:697:18: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/Householder.h:93:15: required from 'void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:46:18: required from 'void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' ../inst/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ../inst/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' ../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:96:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:96:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:96:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]' ../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:96:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]': ../inst/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from 'static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]' ../inst/include/Eigen/src/Core/SolveTriangular.h:102:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' ../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]' ../inst/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]' ../inst/include/Eigen/src/Core/TriangularMatrix.h:552:25: required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::CwiseNullaryOp, Eigen::Matrix >; DstType = Eigen::Matrix; _MatrixType = const Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]' ../inst/include/Eigen/src/Core/Solve.h:147:26: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::TriangularView, -1, -1, false>, 2>; RhsType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Scalar = double; SrcXprType = Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from 'Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; OtherDerived = Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Solve, -1, -1, false>, 2>, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]' fastLm.cpp:104:43: required from here ../inst/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' ../inst/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >': ../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from 'struct Eigen::internal::product_evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >' ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>; Functor = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]' ../inst/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' fastLm.cpp:106:61: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >' ../inst/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::Matrix >, 1, -1, false>' ../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >]' ../inst/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Block, -1, 1, false>]' fastLm.cpp:112:58: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 2, -1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, -1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 2, -1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:121:58: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 2, -1, true> >': ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 2, -1, true> >' ../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/CoreEvaluators.h:603:81: required from 'PacketType Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; UnaryOp = Eigen::internal::scalar_sqrt_op; ArgType = const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1>; typename Eigen::CwiseUnaryOp::Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> > >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:437:75: required from 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> > >, Eigen::internal::assign_op, 0>]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:785:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:121:58: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:129:63: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>' ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:97:23: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:97:23: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false> >' ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../inst/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': ../inst/include/Eigen/src/Core/DenseBase.h:179:81: required from 'class Eigen::DenseBase, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from 'static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >' ../inst/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>' ../inst/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::OuterStride<> >' ../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' ../inst/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' ../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' ../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]' ../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> >' ../inst/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false, false>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >' ../inst/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true, false>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, 1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = swap_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = swap_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, 1, false>; Derived = Eigen::Block, 1, 1, false>]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >, 2>; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >, 2>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:99:55: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' ../inst/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>' ../inst/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' ../inst/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false> >' ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]' ../inst/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' fastLm.cpp:106:61: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]' ../inst/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' fastLm.cpp:106:61: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]' ../inst/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:291:58: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false>, -1, -1, false> >' ../inst/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Cholesky/LDLT.h:361:25: required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LDLT.h:526:51: required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LDLT.h:120:14: required from 'Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:133:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> > >' ../inst/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ../inst/include/Eigen/Core:337: ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]': ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:97:23: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:97:23: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, 1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]' ../inst/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >, 2>; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >, 2>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, member_sum, 1> >, 2>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, -1, -1, false>, 2>, Eigen::Matrix > >, Eigen::internal::member_sum, 1> >, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:99:55: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::InnerStride<> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 0>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 0>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0> >' ../inst/include/Eigen/src/Core/Diagonal.h:63:53: required from 'class Eigen::Diagonal, 0>' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >': ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double; Scalar = double]' ../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/CoreEvaluators.h:589:40: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, member_sum, 1> >]' ../inst/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >; Derived = Eigen::Block, -1, 1, false>]' fastLm.cpp:112:58: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >' ../inst/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, true>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, true>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, -1, 1, true> >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Solve, 1>, Eigen::Matrix > >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/CoreEvaluators.h:589:40: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:129:63: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >' ../inst/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from ../inst/include/Eigen/Core:166: ../inst/include/Eigen/src/Core/util/Memory.h: In instantiation of 'Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]': ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from 'static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]' ../inst/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from 'static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from 'static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from 'Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14: required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix]' fastLm.cpp:180:69: required from here ../inst/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; CoeffReturnType = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, 1, false> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, 1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, 1, false> >' ../inst/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, 1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >' ../inst/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; CoeffReturnType = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from 'void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]' ../inst/include/Eigen/src/Core/Assign.h:66:28: required from 'Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]' fastLm.cpp:106:61: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:344:23: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Cholesky/LLT.h:332:38: required from 'static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:363:24: required from 'static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Cholesky/LLT.h:408:68: required from 'static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/Cholesky/LLT.h:456:42: required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' ../inst/include/Eigen/src/Cholesky/LLT.h:109:14: required from 'Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::SelfAdjointView, 1>; _MatrixType = Eigen::Matrix; int _UpLo = 1]' fastLm.cpp:126:50: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from 'void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from 'Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from 'Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:92:37: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:96:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Map, 0, Eigen::Stride<0, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:96:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:97:23: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:97:23: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' ../inst/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' ../inst/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >' ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from 'static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]' ../inst/include/Eigen/src/Core/SolveTriangular.h:73:12: required from 'static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]' ../inst/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]' ../inst/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Solve, 1>, Eigen::Matrix > >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/CoreEvaluators.h:589:40: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, member_sum, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Solve, 1>, Eigen::Matrix > >, Eigen::internal::member_sum, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:129:63: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, 1, -1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:304:43: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, -1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, -1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, -1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, -1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, -1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, -1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:101:19: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:101:19: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, -1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:19: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from 'static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:19: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:59:31: required from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:132:22: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:103:17: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from 'static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]' ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from 'static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]' ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]' ../inst/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:63:43: required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >' ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:423:29: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/QR/HouseholderQR.h:296:35: required from 'void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:345:39: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/HouseholderSequence.h:307:42: required from 'void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from 'bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from 'Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from 'Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/SVD/JacobiSVD.h:807:10: required from 'Eigen::JacobiSVD::PlainObject> Eigen::MatrixBase::jacobiSvd(unsigned int) const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]' fastLm.cpp:170:38: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; CoeffReturnType = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/NoAlias.h:43:31: required from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]' ../inst/include/Eigen/src/Householder/Householder.h:129:19: required from 'void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, true> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from 'Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]' ../inst/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Householder/BlockHouseholder.h:99:78: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/QR/HouseholderQR.h:350:44: required from 'static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]' ../inst/include/Eigen/src/QR/HouseholderQR.h:416:73: required from 'void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:181:7: required from 'Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' ../inst/include/Eigen/src/QR/HouseholderQR.h:114:14: required from 'Eigen::HouseholderQR::HouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Map, 0, Eigen::Stride<0, 0> >; _MatrixType = Eigen::Matrix]' fastLm.cpp:117:30: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix, 2> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix, 2> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Matrix, 2>' ../inst/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:141:62: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 2>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Matrix, 2> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Matrix, 2> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Matrix, 2, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Matrix, 2, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Matrix, 2>' ../inst/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 1>, Eigen::Matrix >, 0> > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:141:62: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false> >' ../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]' ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, false, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' ../inst/include/Eigen/src/Core/util/XprHelper.h:372:102: required from 'struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from 'struct Eigen::internal::generic_product_impl, Eigen::Transpose >, 0>, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>' ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Scalar = double]' ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from 'static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 7>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 1> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 1> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 1>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >' ../inst/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, 8>' ../inst/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>' ../inst/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' ../inst/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, 0>' ../inst/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true, true>' ../inst/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >' ../inst/include/Eigen/src/Core/Block.h:172:103: required from 'class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, false>' ../inst/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>' ../inst/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>' ../inst/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>; Functor = swap_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::swap_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>; Func = swap_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/DenseBase.h:424:22: required from 'void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:1129:51: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:139:46: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' ../inst/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>' ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, true> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >' ../inst/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' ../inst/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, -1, false> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, -1, false> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >' ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:101:19: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, -1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, -1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >' ../inst/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Householder/BlockHouseholder.h:102:19: required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from 'void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]' ../inst/include/Eigen/src/Householder/HouseholderSequence.h:427:25: required from 'typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix; typename Eigen::internal::traits >::Scalar = double]' fastLm.cpp:105:67: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>' ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 1, -1, false>, 1, -1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:23: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >' ../inst/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>' ../inst/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >' ../inst/include/Eigen/src/Core/Dot.h:50:23: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' ../inst/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> > >' ../inst/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >': ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> > >' ../inst/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' ../inst/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >' ../inst/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:164:36: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>': ../inst/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >' ../inst/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from 'const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Transpose >, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Transpose >, 0>; CoeffReturnType = double; Eigen::Index = long int]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]': ../inst/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]' ../inst/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' ../inst/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:127:46: required from here ../inst/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': ../inst/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from 'Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]' ../inst/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ../inst/include/Eigen/src/Core/Matrix.h:332:31: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from 'void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]' ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>]' ../inst/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from 'Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix]' ../inst/include/Eigen/src/Core/Matrix.h:225:24: required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]' fastLm.cpp:183:55: required from here ../inst/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o RcppEigen.so RcppEigen.o RcppExports.o fastLm.o -L/home/th798/R/R-devel/lib -lRlapack -L/home/th798/R/R-devel/lib -lRblas -lgfortran -lm -lquadmath installing to /tmp/th798/25890912/R-devel/861/library/00LOCK-RcppEigen/00new/RcppEigen/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (RcppEigen) * installing *source* package 'knitr' ... ** this is package 'knitr' version '1.50' ** package 'knitr' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (knitr) * installing *source* package 'mlr3' ... ** this is package 'mlr3' version '1.3.0' ** package 'mlr3' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading Error in dyn.load(file, DLLpath = DLLpath, ...) : unable to load shared object '/projects/genomic-ml/R/R-devel/library/data.table/libs/data_table.so': /projects/genomic-ml/R/R-devel/library/data.table/libs/data_table.so: undefined symbol: Rf_GetOption Calls: ... namespaceImport -> loadNamespace -> library.dynam -> dyn.load Execution halted ERROR: lazy loading failed for package 'mlr3' * removing '/tmp/th798/25890912/R-devel/861/library/mlr3' * installing *source* package 'glmnet' ... ** this is package 'glmnet' version '4.1-10' ** package 'glmnet' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using Fortran compiler: 'GNU Fortran (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' using C++17 /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/25890912/R-devel/861/library/RcppEigen/include' -I'/tmp/th798/25890912/R-devel/861/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o In file included from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/RcppEigenForward.h:28, from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/RcppEigenForward.h:29: /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from 'struct Eigen::internal::traits > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map >' /tmp/th798/25890912/R-devel/861/library/Rcpp/include/Rcpp/InputParameter.h:64:11: required from 'class Rcpp::ConstInputParameter > >' RcppExports.cpp:26:87: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from 'struct Eigen::internal::traits > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map >' /tmp/th798/25890912/R-devel/861/library/Rcpp/include/Rcpp/InputParameter.h:64:11: required from 'class Rcpp::ConstInputParameter > >' RcppExports.cpp:26:87: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' /tmp/th798/25890912/R-devel/861/library/Rcpp/include/Rcpp/InputParameter.h:64:11: required from 'class Rcpp::ConstInputParameter > >' RcppExports.cpp:26:87: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from 'struct Eigen::internal::traits > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map >' RcppExports.cpp:47:170: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' RcppExports.cpp:47:170: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from 'class Eigen::SparseMapBase >, 0>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from 'class Eigen::SparseMapBase >, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from 'class Eigen::Map >' /tmp/th798/25890912/R-devel/861/library/Rcpp/include/Rcpp/InputParameter.h:64:11: required from 'class Rcpp::ConstInputParameter > >' RcppExports.cpp:59:98: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/gfortran -fpic -g -O2 -c coxnet5dpclean.f -o coxnet5dpclean.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/25890912/R-devel/861/library/RcppEigen/include' -I'/tmp/th798/25890912/R-devel/861/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c elnet_exp.cpp -o elnet_exp.o In file included from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/RcppEigenForward.h:28, from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/RcppEigen.h:25, from elnet_exp.cpp:2: /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/RcppEigenForward.h:29: /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from 'struct Eigen::internal::traits > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map >' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from 'struct Eigen::internal::traits > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map >' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:400:10: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:38: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:48: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:49: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' elnet_exp.cpp:44:5: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from 'class Eigen::SparseMapBase >, 0>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from 'class Eigen::SparseMapBase >, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from 'class Eigen::Map >' elnet_exp.cpp:98:5: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, -1, 1, true>, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:433:27: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:437:43: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:437:43: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase, 1, -1, false>, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 1, -1, false>' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:293:30: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:243:33: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:243:39: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:243:39: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_driver/base.hpp:12:36: required from 'void glmnetpp::ElnetDriverBase::normalize_penalty(VType&&) const [with VType = Eigen::Matrix&]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:402:36: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 2>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true, true>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>' glmnetpp/include/glmnetpp_bits/elnet_driver/chkvars.hpp:16:34: required from 'static void glmnetpp::Chkvars::eval(const XType&, JUType&) [with XType = Eigen::Matrix; JUType = std::vector]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:413:28: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 2>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, -1, 1, true>, -1, 1, false>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from 'class Eigen::VectorBlock, -1, 1, true>, -1>' glmnetpp/include/glmnetpp_bits/elnet_driver/chkvars.hpp:16:42: required from 'static void glmnetpp::Chkvars::eval(const XType&, JUType&) [with XType = Eigen::Matrix; JUType = std::vector]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:413:28: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 2>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >' glmnetpp/include/glmnetpp_bits/elnet_driver/chkvars.hpp:17:36: required from 'static void glmnetpp::Chkvars::eval(const XType&, JUType&) [with XType = Eigen::Matrix; JUType = std::vector]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:413:28: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:37:33: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:37:42: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:52:26: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:74:56: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:74:41: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:88:48: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:88:35: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:430:16: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from 'Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, 1, true>; Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:433:31: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >, -1, 1, true> >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from 'class Eigen::BlockImpl >, -1, 1, true, Eigen::Sparse>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block >, -1, 1, true>' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:338:29: required from 'static void glmnetpp::SpStandardize::eval(const XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:339:36: required from 'static void glmnetpp::SpStandardize::eval(const XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:339:55: required from 'static void glmnetpp::SpStandardize::eval(const XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:270:44: required from 'static void glmnetpp::SpStandardize1::eval(const XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:270:53: required from 'static void glmnetpp::SpStandardize1::eval(const XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block >, -1, 1, true>, const Eigen::Block >, -1, 1, true> > >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, -1, 1, true>, const Eigen::Block >, -1, 1, true>, Eigen::Sparse>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block >, -1, 1, true>, const Eigen::Block >, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:276:41: required from 'static void glmnetpp::SpStandardize1::eval(const XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 1, -1, false>; Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:294:37: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from 'Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 1, -1, false>; Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:294:37: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:523:48: required from 'static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, 1, true> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:523:57: required from 'static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:399:49: required from 'static void glmnetpp::MultSpStandardize1::eval(const XType&, YType&, WType&, bool, bool, bool, const JUType&, XMType&, XSType&, YMType&, YSType&, XVType&, ValueType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; YMType = Eigen::Matrix; YSType = Eigen::Matrix; XVType = Eigen::Matrix; ValueType = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:548:32: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:435:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] In file included from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Core:277: /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:108:50: required from 'bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]' glmnetpp/include/glmnetpp_bits/elnet_driver/chkvars.hpp:17:48: required from 'static void glmnetpp::Chkvars::eval(const XType&, JUType&) [with XType = Eigen::Matrix; JUType = std::vector]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:413:28: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:108:50: required from 'bool Eigen::DenseBase::any() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]' glmnetpp/include/glmnetpp_bits/elnet_driver/chkvars.hpp:17:48: required from 'static void glmnetpp::Chkvars::eval(const XType&, JUType&) [with XType = Eigen::Matrix; JUType = std::vector]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:413:28: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:53:40: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:282:8: required from 'struct Eigen::internal::evaluator > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:438:43: required from 'struct Eigen::internal::unary_evaluator >, -1, 1, true>, Eigen::internal::IteratorBased, double>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from 'struct Eigen::internal::block_evaluator >, -1, 1, true, false>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >; Derived = Eigen::Block >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:338:36: required from 'static void glmnetpp::SpStandardize::eval(const XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true> >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >; Derived = Eigen::Block >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:338:36: required from 'static void glmnetpp::SpStandardize::eval(const XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 1, -1, false> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:293:37: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:125:43: required from 'static void glmnetpp::Standardize::eval(XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Matrix >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:46:24: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:87:23: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:343:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:149:16: required from 'auto glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:344:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:149:16: required from 'auto glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:270:59: required from 'static void glmnetpp::SpStandardize1::eval(const XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from 'class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_cov.hpp:96:31: required from 'struct glmnetpp::SpElnetPointInternal::type::cov, double, int, bool>' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:16:8: required from 'struct glmnetpp::ElnetPointCRTPBase::type::cov, glmnetpp::SpElnetPointInternal::type::cov, double, int, bool> > >' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:8:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_cov.hpp:159:16: required from 'auto glmnetpp::SpElnetPath::type::cov, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::cov, glmnetpp::SpElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::cov>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_cov.hpp:151:25: required from 'void glmnetpp::SpElnetPath::type::cov, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::cov, glmnetpp::SpElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:173:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:523:63: required from 'static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:525:41: required from 'static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:473:36: required from 'static void glmnetpp::LStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:303:36: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:400:33: required from 'static void glmnetpp::MultSpStandardize1::eval(const XType&, YType&, WType&, bool, bool, bool, const JUType&, XMType&, XSType&, YMType&, YSType&, XVType&, ValueType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; YMType = Eigen::Matrix; YSType = Eigen::Matrix; XVType = Eigen::Matrix; ValueType = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:548:32: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:435:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, true> >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:53:40: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:296:29: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:176:22: required from 'glmnetpp::ElnetPathBinomialBase::state_t glmnetpp::ElnetPathBinomialTwoClassBase::process_point_fit(const FitPackType&, const PathConfigPackType&, const PointConfigPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PointConfigPackType = glmnetpp::ElnetPathBase::PointConfigPack; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPathBinomialBase::state_t = glmnetpp::util::control_flow]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:71:57: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true>, -1, 1, false> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true>, -1, 1, false> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, -1, 1, false>, 0>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:180:34: required from 'glmnetpp::ElnetPathBinomialBase::state_t glmnetpp::ElnetPathBinomialTwoClassBase::process_point_fit(const FitPackType&, const PathConfigPackType&, const PointConfigPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PointConfigPackType = glmnetpp::ElnetPathBase::PointConfigPack; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPathBinomialBase::state_t = glmnetpp::util::control_flow]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:71:57: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false> >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false> >, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false> >, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, true>, -1, 1, false> >' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:180:45: required from 'glmnetpp::ElnetPathBinomialBase::state_t glmnetpp::ElnetPathBinomialTwoClassBase::process_point_fit(const FitPackType&, const PathConfigPackType&, const PointConfigPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PointConfigPackType = glmnetpp::ElnetPathBase::PointConfigPack; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPathBinomialBase::state_t = glmnetpp::util::control_flow]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:71:57: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:200:29: required from 'void glmnetpp::ElnetPathBinomialTwoClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:200:36: required from 'void glmnetpp::ElnetPathBinomialTwoClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:200:31: required from 'void glmnetpp::ElnetPathBinomialTwoClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:200:52: required from 'void glmnetpp::ElnetPathBinomialTwoClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:406:16: required from 'void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:406:28: required from 'void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:406:34: required from 'void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:408:27: required from 'void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:408:30: required from 'void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:34:67: required from 'Derived& Eigen::ArrayBase::operator-=(const Scalar&) [with Derived = Eigen::ArrayWrapper, 1, -1, false> >; Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:408:30: required from 'void glmnetpp::ElnetPathBinomialMultiClassBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:70:47: required from 'glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:70:50: required from 'glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:82:44: required from 'glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:88:40: required from 'glmnetpp::ElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:86:50: required from 'glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; XBType = Eigen::Matrix; XSType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:108:58: required from 'glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; XBType = Eigen::Matrix; XSType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:108:41: required from 'glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; XBType = Eigen::Matrix; XSType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:185:73: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:225:33: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:185:86: required from 'auto glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::prediction() const [with ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_base.hpp:140:40: required from 'void glmnetpp::ElnetPathPoissonBase::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:225:33: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::process_path_fit(const FitPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPointType = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:77:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:53:40: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false>, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false>, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, false>, 0>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_naive.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:97:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Sparse>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:87:22: required from 'typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:94:25: required from 'typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_abs_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:62:54: required from 'glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, YType&, const WType&, const XType&, const XMType&, const XSType&, const XVType&, const VPType&, const CLType&, const JUType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; YType = Eigen::Matrix; WType = Eigen::Matrix; XType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25: required from 'void glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Sparse>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:87:38: required from 'typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:94:25: required from 'typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_abs_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:62:54: required from 'glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, YType&, const WType&, const XType&, const XMType&, const XSType&, const XVType&, const VPType&, const CLType&, const JUType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; YType = Eigen::Matrix; WType = Eigen::Matrix; XType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25: required from 'void glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:88:29: required from 'typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:94:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25: required from 'void glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:88:41: required from 'typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:94:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25: required from 'void glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:137:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:137:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:137:47: required from 'static typename glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::compute_xv(const XType&, const WType&) [with XType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; WType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:71:52: required from 'glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, bool, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, const GType&, typename base_t::value_t&, const XType&, const YType&, const WType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Block, -1, 1, true>; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:336:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:340:48: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:340:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:400:22: required from 'static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:400:31: required from 'static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:400:37: required from 'static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:23: required from 'static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:404:35: required from 'static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:404:54: required from 'static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:404:47: required from 'static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:27: required from 'static auto glmnetpp::ElnetPointInternalBinomialTwoClassBase::azero(const YType&, const GType&, const QType&) [with YType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Map, 0, Eigen::Stride<0, 0> >; QType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:348:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:350:46: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:350:62: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:350:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:350:30: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:352:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:352:50: required from 'void glmnetpp::ElnetPointInternalBinomialTwoClassBase::construct(XVFType, GradFType) [with XVFType = glmnetpp::ElnetPointInternal::type::two_class, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, bool, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Block, -1, 1, true>&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Block, -1, 1, true>&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>; GradFType = glmnetpp::ElnetPointInternal::type::two_class, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, bool, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Block, -1, 1, true>&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Block, -1, 1, true>&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:70:24: required from 'glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, bool, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, const GType&, typename base_t::value_t&, const XType&, const YType&, const WType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Block, -1, 1, true>; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:352:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:355:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:356:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:355:51: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:356:59: required from 'void glmnetpp::ElnetPointInternalBinomialTwoClassBase::construct(XVFType, GradFType) [with XVFType = glmnetpp::ElnetPointInternal::type::two_class, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, bool, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Block, -1, 1, true>&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Block, -1, 1, true>&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>; GradFType = glmnetpp::ElnetPointInternal::type::two_class, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, bool, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, const Eigen::Block, -1, 1, true>&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Block, -1, 1, true>&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:70:24: required from 'glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, bool, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, const GType&, typename base_t::value_t&, const XType&, const YType&, const WType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Block, -1, 1, true>; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:135:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:135:46: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:135:55: required from 'typename glmnetpp::ElnetPointInternal::type::multi_class, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::multi_class, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t, const WType&) const [with WType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiClassBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:73:51: required from 'glmnetpp::ElnetPointInternal::type::multi_class, ValueType, IndexType, BoolType>::ElnetPointInternal(bool, bool, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, GType&, typename base_t::value_t&, const XType&, const YType&, const WType&, const VPType&, const CLType&, const JUType&, ISType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Matrix; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; ISType = Eigen::Matrix; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialMultiClassBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Sparse>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1402:44: required from 'typename glmnetpp::SpElnetPointInternalBinomialBase::base_t::value_t glmnetpp::SpElnetPointInternalBinomialBase::compute_xv(typename base_t::index_t, const WType&) const [with WType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalStaticBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_two_class.hpp:76:62: required from 'glmnetpp::SpElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, bool, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, const GType&, typename base_t::value_t&, const XType&, const YType&, const WType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Block, -1, 1, true>; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; XBType = Eigen::Matrix; XSType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_two_class.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:177:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1409:56: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_two_class.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:177:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1409:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_two_class.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:177:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1409:68: required from 'typename glmnetpp::SpElnetPointInternalBinomialBase::base_t::value_t glmnetpp::SpElnetPointInternalBinomialBase::compute_grad(typename base_t::index_t, const RType&, const VType&) const [with RType = Eigen::Matrix; VType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalStaticBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_two_class.hpp:77:64: required from 'glmnetpp::SpElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, bool, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, const GType&, typename base_t::value_t&, const XType&, const YType&, const WType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GType = Eigen::Block, -1, 1, true>; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; XBType = Eigen::Matrix; XSType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_two_class.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:177:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Sparse>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class_group.hpp:130:48: required from 'typename glmnetpp::SpElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::base_t::state_t glmnetpp::SpElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::update_irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:181:46: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class.hpp:163:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:187:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:54: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:161:81: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::ElnetPointInternal::type::naive, double, int, bool>::ElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:136:54: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:138:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:138:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:138:64: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:139:71: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_naive.hpp:137:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:161:81: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp::construct::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::index_t)>)::, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/poisson_base.hpp:160:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Sparse>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:168:65: required from 'typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::state_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::update_irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalPoissonBase]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:181:46: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:170:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:170:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:170:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:170:66: required from 'typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::state_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::update_irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalPoissonBase]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:181:46: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:170:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:171:78: required from 'typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::state_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::update_irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalPoissonBase]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:181:46: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:171:84: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper::type::naive, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBase::PointConfigPack&)::, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >, const Eigen::Matrix > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:169:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Eigen::Index = long int]': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:125:43: required from 'static void glmnetpp::Standardize::eval(XType&, YType&, WType&, bool, bool, const JUType&, GType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; GType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:422:40: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:46:24: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:87:23: required from 'static void glmnetpp::Standardize1::eval(XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix >; Eigen::Index = long int]': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix > >; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:270:59: required from 'static void glmnetpp::SpStandardize1::eval(const XType&, YType&, WType&, bool, bool, const JUType&, XMType&, XSType&, ValueType&, ValueType&, XVType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; ValueType = double; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:427:42: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:438:43: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::internal::IteratorBased, double>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from 'struct Eigen::internal::block_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true, false>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25: required from 'void glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:565:53: required from 'struct Eigen::internal::sparse_conjunction_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IteratorBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:352:8: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IteratorBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:87:46: required from 'typename glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianNaiveBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_naive.hpp:94:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_naive.hpp:151:25: required from 'void glmnetpp::SpElnetPath::type::naive, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:180:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix >; Eigen::Index = long int]': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix > >; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:523:63: required from 'static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:525:41: required from 'static void glmnetpp::MultLStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&, XVType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:300:42: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > >; Eigen::Index = long int]': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > > >; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, true> > > >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:473:36: required from 'static void glmnetpp::LStandardize1::eval(XType&, const WType&, const JUType&, IntType, IntType, XMType&, XSType&) [with XType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; IntType = bool; XMType = Eigen::Matrix; XSType = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:303:36: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true> >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:180:69: required from 'glmnetpp::ElnetPathBinomialBase::state_t glmnetpp::ElnetPathBinomialTwoClassBase::process_point_fit(const FitPackType&, const PathConfigPackType&, const PointConfigPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PointConfigPackType = glmnetpp::ElnetPathBase::PointConfigPack; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPathBinomialBase::state_t = glmnetpp::util::control_flow]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:71:57: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_path/binomial_base.hpp:180:69: required from 'glmnetpp::ElnetPathBinomialBase::state_t glmnetpp::ElnetPathBinomialTwoClassBase::process_point_fit(const FitPackType&, const PathConfigPackType&, const PointConfigPackType&, const ElnetPointType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PointConfigPackType = glmnetpp::ElnetPathBase::PointConfigPack; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointType = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; glmnetpp::ElnetPathBinomialBase::state_t = glmnetpp::util::control_flow]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:71:57: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:538:65: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::initialize_resid(typename base_t::index_t, RType&&) [with RType = Eigen::Block, -1, 1, true>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1166:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase > >, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase > >, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:589:22: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Array >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Array > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, Eigen::Array > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Array >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, false> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, false>, 0>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false> >, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, false> >, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, false> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, 1, -1, false> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, 1, -1, false> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:598:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:660:39: required from 'auto glmnetpp::ElnetPointInternalBinomialMultiBase::kazero(AZType&&) [with AZType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:600:46: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:660:45: required from 'auto glmnetpp::ElnetPointInternalBinomialMultiBase::kazero(AZType&&) [with AZType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:600:46: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:660:54: required from 'auto glmnetpp::ElnetPointInternalBinomialMultiBase::kazero(AZType&&) [with AZType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:600:46: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::internal::member_sum, 1> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from 'class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:661:34: required from 'auto glmnetpp::ElnetPointInternalBinomialMultiBase::kazero(AZType&&) [with AZType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:600:46: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true> >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true> >, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true> >, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:603:65: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:603:47: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:604:48: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:604:51: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:604:79: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:605:60: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:608:55: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:608:37: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:608:65: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1206:37: required from 'void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::setup_wls(typename base_t::value_t, typename base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::setup_wls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1207:44: required from 'void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::setup_wls(typename base_t::value_t, typename base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::setup_wls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1207:26: required from 'void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::setup_wls(typename base_t::value_t, typename base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::setup_wls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1206:39: required from 'void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::setup_wls(typename base_t::value_t, typename base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::setup_wls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1207:57: required from 'void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::setup_wls(typename base_t::value_t, typename base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::setup_wls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1234:47: required from 'typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls(typename base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1234:77: required from 'typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls(typename base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1234:83: required from 'typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls(typename base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1238:53: required from 'typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls(typename base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1238:79: required from 'typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls(typename base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Transpose, 1, -1, false> >, const Eigen::Transpose, 1, -1, false> > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1238:85: required from 'typename glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::base_t::state_t glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls(typename base_t::value_t, UpdatePredictionFType, InitResidFType, ComputeAbsGradFType) [with UpdatePredictionFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>; InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>; ComputeAbsGradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:109:35: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true>, 2>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, -1, 1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, -1, 1, true>, 0>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:113:48: required from 'glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&):: [with auto:43 = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:904:24: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Sparse>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1381:42: required from 'void glmnetpp::SpElnetPointInternalBinomialBase::update_with_new_weights(typename base_t::index_t, const VType&, typename base_t::index_t, typename base_t::value_t, typename base_t::value_t&) [with VType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalStaticBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_two_class.hpp:121:55: required from 'void glmnetpp::SpElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::setup_wls(const PointPackType&) [with PointPackType = glmnetpp::ElnetPathBase::PointConfigPack; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:179:28: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::two_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_two_class.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::two_class, glmnetpp::SpElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:177:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:522:43: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::initialize_resid(RType&&, const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with RType = Eigen::Matrix&; YT = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VT = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class.hpp:164:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:187:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:522:40: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::initialize_resid(RType&&, const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with RType = Eigen::Matrix&; YT = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VT = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class.hpp:164:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:187:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class.hpp:137:50: required from 'glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&):: [with auto:50 = Eigen::Matrix]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:904:24: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class, glmnetpp::SpElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:187:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:101:54: required from 'glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&):::: [with auto:65 = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from 'static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::; SkipPolicy = glmnetpp::SpElnetPointInternal::type::naive, double, int, bool>::SpElnetPointInternal, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, std::vector, InternalParams>(bool, glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t, glmnetpp::ElnetPointInternalStaticBase::index_t&, Eigen::Map, 0, Eigen::Stride<0, 0> >&, glmnetpp::ElnetPointInternalStaticBase::value_t&, const Eigen::Map >&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const InternalParams&)::::; ValueType = double; IndexType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:100:51: required from 'glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::SpElnetPointInternal(bool, typename base_t::value_t, typename base_t::index_t, typename base_t::index_t, typename base_t::index_t&, IAType&, typename base_t::value_t&, const XType&, const YType&, const GType&, const QType&, const XBType&, const XSType&, const VPType&, const CLType&, const JUType&, const IntParamType&) [with IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; XBType = Eigen::Matrix; XSType = Eigen::Matrix; VPType = Eigen::Matrix; CLType = Eigen::Matrix; JUType = std::vector; IntParamType = InternalParams; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_multi.hpp:83:35: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_multi.hpp:83:38: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; Eigen::Index = long int]': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix > >; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/standardize.hpp:400:33: required from 'static void glmnetpp::MultSpStandardize1::eval(const XType&, YType&, WType&, bool, bool, bool, const JUType&, XMType&, XSType&, YMType&, YSType&, XVType&, ValueType&) [with XType = Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; XMType = Eigen::Matrix; XSType = Eigen::Matrix; YMType = Eigen::Matrix; YSType = Eigen::Matrix; XVType = Eigen::Matrix; ValueType = double]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:548:32: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:435:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, -1, 1, true> >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, -1, 1, true> >, 2>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:101:37: required from 'void glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t, GType&&) const [with GType = Eigen::Matrix&; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianMultiBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:108:21: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_multi.hpp:155:25: required from 'void glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:318:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:435:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:101:40: required from 'void glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t, GType&&) const [with GType = Eigen::Matrix&; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianMultiBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:108:21: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_multi.hpp:155:25: required from 'void glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:318:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:435:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:101:55: required from 'void glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t, GType&&) const [with GType = Eigen::Matrix&; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianMultiBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:108:21: required from 'typename glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::compute_abs_grad(typename base_t::index_t, GType&&) const [with GType = Eigen::Matrix&; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianMultiBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:68:81: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_multi.hpp:155:25: required from 'void glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:318:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:435:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_naive.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:97:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:522:43: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::initialize_resid(RType&&, const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with RType = Eigen::Block, -1, 1, true>&; YT = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VT = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:538:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:522:40: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::initialize_resid(RType&&, const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with RType = Eigen::Block, -1, 1, true>&; YT = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VT = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:538:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, -1, 1, true> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:643:34: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::update_irls_class(PredBuffType&&, typename base_t::value_t, const OffsetType&, QType&&, UpdatePredictionFType) [with PredBuffType = Eigen::Matrix&; OffsetType = Eigen::Block >, -1, 1, true>; QType = Eigen::Block, -1, 1, true>; UpdatePredictionFType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>)::::index_t)>::; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1244:46: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseNullaryOp, Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:645:81: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::update_irls_class(PredBuffType&&, typename base_t::value_t, const OffsetType&, QType&&, UpdatePredictionFType) [with PredBuffType = Eigen::Matrix&; OffsetType = Eigen::Block >, -1, 1, true>; QType = Eigen::Block, -1, 1, true>; UpdatePredictionFType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>)::::index_t)>::; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1244:46: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:647:65: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::update_irls_class(PredBuffType&&, typename base_t::value_t, const OffsetType&, QType&&, UpdatePredictionFType) [with PredBuffType = Eigen::Matrix&; OffsetType = Eigen::Block >, -1, 1, true>; QType = Eigen::Block, -1, 1, true>; UpdatePredictionFType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>)::::index_t)>::; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1244:46: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:648:53: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::update_irls_class(PredBuffType&&, typename base_t::value_t, const OffsetType&, QType&&, UpdatePredictionFType) [with PredBuffType = Eigen::Matrix&; OffsetType = Eigen::Block >, -1, 1, true>; QType = Eigen::Block, -1, 1, true>; UpdatePredictionFType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_irls::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)> >(glmnetpp::ElnetPointInternalStaticBase::value_t, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:47&)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t)>, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_irls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:48&)>)::::index_t)>::; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1244:46: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1044:49: required from 'auto glmnetpp::ElnetPointInternalBinomialMultiClassBase::elc(typename base_t::value_t, const CLType&, const AType&) [with CLType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; AType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:900:30: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1044:51: required from 'auto glmnetpp::ElnetPointInternalBinomialMultiClassBase::elc(typename base_t::value_t, const CLType&, const AType&) [with CLType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; AType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:900:30: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1044:59: required from 'auto glmnetpp::ElnetPointInternalBinomialMultiClassBase::elc(typename base_t::value_t, const CLType&, const AType&) [with CLType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; AType = Eigen::Block, 1, -1, false>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:900:30: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_multi.hpp:84:33: required from 'void glmnetpp::SpElnetPointInternal::type::multi, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianMultiBase]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_multi.hpp:39:27: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_multi.hpp:155:25: required from 'void glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:318:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:435:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, false> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, false> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, -1, 1, false> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, 1, -1, false>, 1, -1, false>; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, false> >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator >, 1, -1, false> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:598:51: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::construct() [with ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1180:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 2>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:124:49: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:124:52: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:531:48: required from 'void glmnetpp::ElnetPointInternalBinomialMultiBase::initialize_resid(RType&&, const Eigen::MatrixBase&, const Eigen::MatrixBase&, typename base_t::value_t) [with RType = Eigen::Block, -1, 1, true>&; YT = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VT = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:546:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase > >, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase > >, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:647:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from 'class Eigen::internal::dense_product_base >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from 'class Eigen::ProductImpl >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from 'class Eigen::Product >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class_group.hpp:155:52: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class_group.hpp:156:37: required from 'void glmnetpp::SpElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t, DestType&&) const [with DestType = Eigen::Matrix&; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class_group.hpp:162:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:86:30: required from 'glmnetpp::ElnetPointCRTPBase::state_t glmnetpp::ElnetPointCRTPBase::update(typename glmnetpp::details::traits::internal_t::index_t, const PointPackType&, DiffType&&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; PointPackType = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; DiffType = Eigen::Matrix&; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >; state_t = glmnetpp::util::control_flow; typename glmnetpp::details::traits::internal_t::index_t = int; internal_t = glmnetpp::ElnetPointInternal::type::multi, double, int, bool>]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:62:53: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:589:55: required from 'void glmnetpp::ElnetPointInternalGaussianMultiBase::update_rsq(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:64:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:589:85: required from 'void glmnetpp::ElnetPointInternalGaussianMultiBase::update_rsq(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:64:25: required from 'typename glmnetpp::ElnetPointGaussianBase::base_t::state_t glmnetpp::ElnetPointGaussianBase::update(typename base_t::index_t, const PointPackType&, DiffType&&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; DiffType = Eigen::Matrix&; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointCRTPBase::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> > >; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_multi.hpp:37:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:589:38: required from 'void glmnetpp::ElnetPointInternalGaussianMultiBase::update_rsq(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:64:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, -1, 1, true> >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base >, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator >, -1, 1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper >, -1, 1, true> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_multi.hpp:155:25: required from 'void glmnetpp::SpElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi, glmnetpp::SpElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:318:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multspelnet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:435:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_naive.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:97:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Sparse>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_cov.hpp:88:35: required from 'static auto glmnetpp::SpElnetPointInternal::type::cov, ValueType, IndexType, BoolType>::compute_sp_cov(const X1Type&, const X2Type&, const WType&, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t) [with X1Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; X2Type = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; WType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianCovBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_cov.hpp:65:42: required from 'void glmnetpp::SpElnetPointInternal::type::cov, ValueType, IndexType, BoolType>::update_active(typename base_t::index_t) [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianCovBase]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:81:44: required from 'glmnetpp::ElnetPointCRTPBase::state_t glmnetpp::ElnetPointCRTPBase::update(typename glmnetpp::details::traits::internal_t::index_t, const PointPackType&, DiffType&&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; PointPackType = glmnetpp::ElnetPathBase::PointConfigPack; DiffType = double&; ElnetPointDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::SpElnetPointInternal::type::cov, double, int, bool> >; state_t = glmnetpp::util::control_flow; typename glmnetpp::details::traits::internal_t::index_t = int; internal_t = glmnetpp::SpElnetPointInternal::type::cov, double, int, bool>]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:62:53: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::SpElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::cov>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_gaussian_cov.hpp:151:25: required from 'void glmnetpp::SpElnetPath::type::cov, SpElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; ULamType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; SpElnetPointPolicy = glmnetpp::SpElnetPoint::type::cov, glmnetpp::SpElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:173:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spelnet_exp(int, double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:103:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::internal::IndexBased, double>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:101:57: required from 'void glmnetpp::ElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::setup_wls(const PointPackType&) [with PointPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ValueType = double; IndexType = int; BoolType = bool]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:179:28: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::irls(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, -1, 1, false> >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, -1, 1, false> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:30:31: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:91:45: required from 'void glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:91:72: required from 'void glmnetpp::ElnetPointInternal::type::two_class, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialTwoClassBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27: required from 'typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::state_t glmnetpp::ElnetPointNonLinearCRTPBase::update(typename base_t::index_t, const PointConfigPack&, DiffType&&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; DiffType = double&; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointCRTPBase::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> > >; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:141:36: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:86:30: required from 'glmnetpp::ElnetPointCRTPBase::state_t glmnetpp::ElnetPointCRTPBase::update(typename glmnetpp::details::traits::internal_t::index_t, const PointPackType&, DiffType&&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; PointPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; DiffType = Eigen::Matrix&; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; state_t = glmnetpp::util::control_flow; typename glmnetpp::details::traits::internal_t::index_t = int; internal_t = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:127:53: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:82:43: required from 'void glmnetpp::ElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathPoissonBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/poisson_naive.hpp:107:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:78:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = fishnet_exp(double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:270:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix, Eigen::Sparse>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:140:39: required from 'void glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27: required from 'typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::state_t glmnetpp::ElnetPointNonLinearCRTPBase::update(typename base_t::index_t, const PointConfigPack&, DiffType&&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; DiffType = double&; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointCRTPBase::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> > >; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:141:36: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::update(typename base_t::index_t, const PointConfigPack&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointCRTPBase::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> > >]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:321:55: required from 'void glmnetpp::ElnetPointInternalBaseViewer::update_dlx(const Eigen::MatrixBase&, typename base_t::value_t) [with T = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalStaticBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:578:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Map >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:206:64: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_naive.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::naive, glmnetpp::ElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:97:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:137:21: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:142:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:322:24: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; Eigen::Index = long int]': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:405:33: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >; Eigen::Index = long int]': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > > >; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:355:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: required from 'static void glmnetpp::ElnetPointInternalGaussianNaiveBase::update_resid(RType&&, typename base_t::value_t, const XType&) [with RType = Eigen::Matrix&; XType = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianUniBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:89:39: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >; Eigen::Index = long int]': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > > >; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true> >, const Eigen::ArrayWrapper > > > >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1208:43: required from 'void glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::setup_wls(typename base_t::value_t, typename base_t::value_t, InitResidFType) [with InitResidFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::setup_wls >(const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, glmnetpp::ElnetPointInternalStaticBase::value_t)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBinomialMultiBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:95:26: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false> > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false> > >, 2>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 1, -1, false> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 1, -1, false> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:219:37: required from 'static constexpr bool glmnetpp::ElnetPointInternalStaticBase::equal(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T1 = Eigen::Matrix; T2 = Eigen::Transpose, 1, -1, false> >; ValueType = double; IndexType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:75:24: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: required from 'static void glmnetpp::ElnetPointInternalGaussianNaiveBase::update_resid(RType&&, typename base_t::value_t, const XType&) [with RType = Eigen::Block, -1, 1, true>; XType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianUniBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class_group.hpp:80:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:135:21: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::get_elnet_point(const FitPackType&, PathConfigPackType&&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassBase::PathConfigPack&; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Sparse>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: required from 'static void glmnetpp::ElnetPointInternalGaussianNaiveBase::update_resid(RType&&, typename base_t::value_t, const XType&) [with RType = Eigen::Block, -1, 1, true>; XType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianUniBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_binomial_multi_class_group.hpp:91:43: required from 'void glmnetpp::SpElnetPointInternal::type::multi_class_group, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27: required from 'typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::state_t glmnetpp::ElnetPointNonLinearCRTPBase::update(typename base_t::index_t, const PointConfigPack&, DiffType&&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; DiffType = Eigen::Matrix&; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointCRTPBase::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> > >; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/binomial_multi_class_group.hpp:34:37: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > > >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >, Eigen::Sparse>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: required from 'static void glmnetpp::ElnetPointInternalGaussianNaiveBase::update_resid(RType&&, typename base_t::value_t, const XType&) [with RType = Eigen::Matrix&; XType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianUniBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_poisson_naive.hpp:138:39: required from 'void glmnetpp::SpElnetPointInternal::type::naive, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalPoissonBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:129:27: required from 'typename glmnetpp::ElnetPointNonLinearCRTPBase::base_t::state_t glmnetpp::ElnetPointNonLinearCRTPBase::update(typename base_t::index_t, const PointConfigPack&, DiffType&&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; DiffType = double&; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointCRTPBase::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> > >; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:141:36: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::naive>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::naive>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_poisson_naive.hpp:169:25: required from 'void glmnetpp::SpElnetPath::type::naive, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const QType&, IntType, ValueType, const ULamType&, const XBType&, const XSType&, ValueType, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; QType = Eigen::Matrix; ULamType = Eigen::Map >; XBType = Eigen::Matrix; XSType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::naive, glmnetpp::SpElnetPointInternal::type::naive, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:144:23: required from 'static void glmnetpp::details::FitPathPoisson::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, ValueType, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/poisson.hpp:255:52: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Map >; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = spfishnet_exp(double, Eigen::Map >, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:326:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:647:31: required from 'static void glmnetpp::ElnetPointInternalGaussianMultiBase::update_beta(typename base_t::index_t, AType&&, typename base_t::value_t, typename base_t::value_t, GCurrType&&, GNextType&&, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::index_t, ISCType&&, const CLType&, GradFType) [with AType = Eigen::Block, -1, 1, true>; GCurrType = Eigen::Matrix&; GNextType = Eigen::Matrix&; ISCType = Eigen::Matrix&; CLType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradFType = glmnetpp::ElnetPointInternal::type::multi, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack&)::::index_t, auto:22&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:617:20: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:647:25: required from 'static void glmnetpp::ElnetPointInternalGaussianMultiBase::update_beta(typename base_t::index_t, AType&&, typename base_t::value_t, typename base_t::value_t, GCurrType&&, GNextType&&, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::index_t, ISCType&&, const CLType&, GradFType) [with AType = Eigen::Block, -1, 1, true>; GCurrType = Eigen::Matrix&; GNextType = Eigen::Matrix&; ISCType = Eigen::Matrix&; CLType = Eigen::Map, 0, Eigen::Stride<0, 0> >; GradFType = glmnetpp::ElnetPointInternal::type::multi, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack&)::::index_t, auto:22&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:617:20: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_two_class.hpp:137:21: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Block, -1, 1, true>, Eigen::Block, -1, 1, true>, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::two_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_two_class.hpp:109:25: required from 'void glmnetpp::ElnetPath::type::two_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Block, -1, 1, true>; GType = Eigen::Block, -1, 1, true>; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::two_class, glmnetpp::ElnetPointInternal::type::two_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:91:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:570:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >; Eigen::Index = long int]': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > > >; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, const Eigen::ArrayWrapper, -1, 1, true> > > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:604:29: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >; Eigen::Index = long int]': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix > >; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:610:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 1, -1, true>, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 1, -1, true>, 2>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, 1, -1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, 1, -1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase > >, 1, -1, true>, 0>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense > >, 1, -1, true, true>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 2>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true, true>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >; Eigen::Index = long int]': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:589:92: required from 'void glmnetpp::ElnetPointInternalGaussianMultiBase::update_rsq(typename base_t::index_t, const DiffType&) [with DiffType = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:64:25: required from 'typename glmnetpp::ElnetPointGaussianBase::base_t::state_t glmnetpp::ElnetPointGaussianBase::update(typename base_t::index_t, const PointPackType&, DiffType&&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; DiffType = Eigen::Matrix&; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >; typename base_t::state_t = glmnetpp::util::control_flow; base_t = glmnetpp::ElnetPointCRTPBase::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> > >; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_multi.hpp:37:50: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:647:31: required from 'static void glmnetpp::ElnetPointInternalGaussianMultiBase::update_beta(typename base_t::index_t, AType&&, typename base_t::value_t, typename base_t::value_t, GCurrType&&, GNextType&&, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::index_t, ISCType&&, const CLType&, GradFType) [with AType = Eigen::Transpose, 1, -1, false> >; GCurrType = Eigen::Matrix&; GNextType = Eigen::Matrix&; ISCType = Eigen::Matrix&; CLType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_beta::type::multi_class_group, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:46&)> >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:46&)>&)::; GradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:46&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1187:38: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 1, -1, false> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:647:25: required from 'static void glmnetpp::ElnetPointInternalGaussianMultiBase::update_beta(typename base_t::index_t, AType&&, typename base_t::value_t, typename base_t::value_t, GCurrType&&, GNextType&&, typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, typename base_t::index_t, ISCType&&, const CLType&, GradFType) [with AType = Eigen::Transpose, 1, -1, false> >; GCurrType = Eigen::Matrix&; GNextType = Eigen::Matrix&; ISCType = Eigen::Matrix&; CLType = glmnetpp::ElnetPointInternalBinomialMultiClassGroupBase::update_beta::type::multi_class_group, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:46&)> >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:46&)>&)::; GradFType = glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool>::update_beta >(glmnetpp::ElnetPointInternalStaticBase::index_t, const glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack&)::::index_t, auto:46&)>; ValueType = double; IndexType = int; BoolType = bool; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:1187:38: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Eigen::Index = long int]': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > > >; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_multi_class.hpp:135:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi_class, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class, glmnetpp::ElnetPointInternal::type::multi_class, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:101:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Core:333: /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Dest = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::internal::generic_product_impl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::internal::generic_product_impl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Dest = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::internal::generic_product_impl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::internal::generic_product_impl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from 'struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Dest = Eigen::Matrix; typename Dest::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::internal::generic_product_impl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from 'static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose > >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::internal::generic_product_impl > >, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX' 42 | prefix ## name ## Packet | ^~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, -1, 1, true>, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, -1, 1, true>, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, -1, 1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, -1, 1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, -1, 1, true>, 0>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 1, -1, true>, 0>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from 'class Eigen::internal::SparseTransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1024>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from 'class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Sparse>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60: required from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; int ProductType = 7; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 2>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseDenseProduct.h:216:83: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::SpElnetPath::type::multi_class_group>::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::SpElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/sp_binomial_multi_class_group.hpp:171:25: required from 'void glmnetpp::SpElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XMType&, const XSType&, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::SpElnetPoint::type::multi_class_group, glmnetpp::SpElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:182:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = const Eigen::Map >; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = splognet_exp(double, Eigen::Map >, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:214:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase > >, 1, -1, true> >, 2>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >, 1, -1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >, 1, -1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl > >, 1, -1, true>, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose > >, 1, -1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_cov.hpp:55:65: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPath::type::cov>::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::cov>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_cov.hpp:136:25: required from 'void glmnetpp::ElnetPath::type::cov, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, GType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; GType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Matrix; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::cov, glmnetpp::ElnetPointInternal::type::cov, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:90:27: required from 'static void glmnetpp::details::FitPathGaussian::eval(bool, ValueType, const XType&, YType&, GType&, const WType&, const JUType&, const VQType&, const XMType&, const XSType&, const XVType&, const CLType&, IntType, IntType, IntType, ValueType, const VLamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VQType = Eigen::Matrix; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; CLType = Eigen::Matrix; VLamType = Eigen::Matrix; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true; bool is_multi = false]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:439:60: required from 'void glmnetpp::ElnetDriver::fit(bool, ValueType, XType&, YType&, WType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = elnet_exp(int, double, Eigen::MatrixXd, Eigen::VectorXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:49:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 2, -1, true>, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 2, -1, true>, 2>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 2, -1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 2, -1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 2, -1, true>, 0>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 2, -1, true, true>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 2, -1, true> >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 2, -1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from 'PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114: required from 'void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75: required from 'static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, Eigen::internal::member_sum, 1> >, Eigen::internal::assign_op, 0>]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37: required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::PartialReduxExpr, member_sum, 1>; Functor = assign_op]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::Transpose, 1, -1, false> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Transpose, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:703:33: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:118:56: required from 'void glmnetpp::ElnetPointNonLinearCRTPBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathBinomialMultiClassBase::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Eigen::Index = long int]': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper > > >; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:321:66: required from 'void glmnetpp::ElnetPointInternalBaseViewer::update_dlx(const Eigen::MatrixBase&, typename base_t::value_t) [with T = Eigen::Matrix; ValueType = double; IndexType = int; BoolType = bool; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalStaticBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:578:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPathGaussianMultiBase::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:56:36: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 1, -1, false>, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 1, -1, false>, 2>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 1, -1, false> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 1, -1, false> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 1, -1, false>, 0>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 1, -1, false, true>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >, 1, -1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >, 1, -1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from 'class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from 'class Eigen::Transpose >, 1, -1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator > >, 1, -1, true> >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator > >, 1, -1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator > >, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator > >, 1, -1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator > >, 1, -1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator >, 1, -1, true> >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from 'struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator >, 1, -1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block > >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'auto glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathGaussianMultiBase::FitPack, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi>]' glmnetpp/include/glmnetpp_bits/elnet_path/gaussian_multi.hpp:108:25: required from 'void glmnetpp::ElnetPath::type::multi, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, YType&, IntType, IntType, const XType&, IntType, ValueType, const ULamType&, ValueType, IntType, const XVType&, ValueType, IntType&, AOType&, IAType&, KinType&, RSQOType&, ALMOType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RSQOType = Eigen::Map >; ALMOType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi, glmnetpp::ElnetPointInternal::type::multi, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:250:23: required from 'static void glmnetpp::details::FitPathGaussian::eval(ValueType, const JUType&, const VQType&, const CLType&, YType&, const WType&, IntType, IntType, const XType&, IntType, ValueType, const VLamType&, ValueType, IntType, const XMType&, const XSType&, const XVType&, ValueType, IntType&, A0Type&, CAType&, IAType&, NinType&, RsqType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) [with ValueType = double; JUType = std::vector; VQType = Eigen::Matrix; CLType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; VLamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:562:59: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, WType&, const JDType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, bool, IntType, IntType&, A0Type&, AOType&, IAType&, KinType&, RsqoType&, AlmoType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; WType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; IntType = int; ULamType = Eigen::Map >; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; RsqoType = Eigen::Map >; AlmoType = Eigen::Map >; SetpbFType = multelnet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::VectorXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:381:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 1, -1, false> >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from 'class Eigen::internal::redux_evaluator, 1, -1, false> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from 'ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, 1, -1, false>; ResultType = double; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from 'const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:214:47: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from 'glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::elnet_point_t glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::get_elnet_point(const FitPackType&, const PathConfigPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; PathConfigPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::PathConfigPack; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >; elnet_point_t = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_path/base.hpp:46:56: required from 'void glmnetpp::ElnetPathCRTPBase::fit(const FitPackType&) const [with FitPackType = glmnetpp::ElnetPathBinomialMultiClassGroupBase::FitPack, Eigen::Matrix, Eigen::Matrix, int, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, Eigen::Map >, Eigen::Matrix, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::Map >, lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::, InternalParams>; ElnetPathDerived = glmnetpp::ElnetPath::type::multi_class_group>]' glmnetpp/include/glmnetpp_bits/elnet_path/binomial_multi_class_group.hpp:112:25: required from 'void glmnetpp::ElnetPath::type::multi_class_group, ElnetPointPolicy>::fit(ValueType, const JUType&, const VPType&, const CLType&, IntType, IntType, const XType&, const YType&, GType&, const WType&, IntType, ValueType, const ULamType&, ValueType, bool, IntType, const XVType&, IntType&, A0Type&, AOType&, IAType&, KinType&, ValueType&, DevType&, ALMType&, IntType&, IntType&, SetpbFType, const IntParamType&) const [with ValueType = double; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; ULamType = Eigen::Map >; XVType = Eigen::Matrix; A0Type = Eigen::Map >; AOType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; KinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; ALMType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; ElnetPointPolicy = glmnetpp::ElnetPoint::type::multi_class_group, glmnetpp::ElnetPointInternal::type::multi_class_group, double, int, bool> >]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:96:27: required from 'static void glmnetpp::details::FitPathBinomial::eval(ValueType, const XType&, const YType&, GType&, const WType&, const JUType&, const VPType&, const CLType&, IntType, IntType, IntType, ValueType, const ULamType&, const XMType&, const XSType&, const XVType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, const IntParamType&) [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; WType = Eigen::Matrix; JUType = std::vector; VPType = Eigen::Matrix; CLType = Eigen::Matrix; IntType = int; ULamType = Eigen::Map >; XMType = Eigen::Matrix; XSType = Eigen::Matrix; XVType = Eigen::Matrix; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams; bool is_dense = true]' glmnetpp/include/glmnetpp_bits/elnet_driver/binomial.hpp:309:53: required from 'void glmnetpp::ElnetDriver::fit(ValueType, XType&, YType&, GType&, const JDType&, const VPType&, CLType&, IntType, IntType, IntType, ValueType, const ULamType&, ValueType, bool, bool, IntType, IntType, LmuType&, A0Type&, CAType&, IAType&, NinType&, ValueType&, DevType&, AlmType&, IntType&, IntType&, SetpbFType, IntParamType) const [with ValueType = double; XType = Eigen::Matrix; YType = Eigen::Matrix; GType = Eigen::Matrix; JDType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Matrix; ULamType = Eigen::Map >; IntType = int; LmuType = int; A0Type = Eigen::Map >; CAType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; NinType = Eigen::Map, 0, Eigen::Stride<0, 0> >; DevType = Eigen::Map >; AlmType = Eigen::Map >; SetpbFType = lognet_exp(double, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::MatrixXd, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map >, Eigen::MatrixXd, int, int, int, double, Eigen::Map >, double, int, int, int, int, SEXP, int, Eigen::Map >, Eigen::Map >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, double, Eigen::Map >, Eigen::Map >, int, int)::::; IntParamType = InternalParams]' elnet_exp.cpp:158:19: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/25890912/R-devel/861/library/RcppEigen/include' -I'/tmp/th798/25890912/R-devel/861/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c glmnet_init.cpp -o glmnet_init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/25890912/R-devel/861/library/RcppEigen/include' -I'/tmp/th798/25890912/R-devel/861/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c internal.cpp -o internal.o In file included from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/RcppEigenForward.h:28, from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/RcppEigen.h:25, from internal.cpp:4: /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/RcppEigenForward.h:29: /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/25890912/R-devel/861/library/RcppEigen/include' -I'/tmp/th798/25890912/R-devel/861/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pb.c -o pb.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/25890912/R-devel/861/library/RcppEigen/include' -I'/tmp/th798/25890912/R-devel/861/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c pb_exp.cpp -o pb_exp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -I'/tmp/th798/25890912/R-devel/861/library/RcppEigen/include' -I'/tmp/th798/25890912/R-devel/861/library/Rcpp/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -Iglmnetpp/include -Iglmnetpp/src -Iglmnetpp/test -DEIGEN_PERMANENTLY_DISABLE_STUPID_WARNINGS -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wls_exp.cpp -o wls_exp.o In file included from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/RcppEigenForward.h:28, from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/RcppEigen.h:25, from wls_exp.cpp:2: /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/RcppEigenForward.h:29: /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Map.h:18:8: required from 'struct Eigen::internal::traits > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map >' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Map.h:24:49: required from 'struct Eigen::internal::traits > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from 'struct Eigen::internal::accessors_level > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from 'class Eigen::Map >' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' glmnetpp/include/glmnetpp_bits/elnet_driver/gaussian.hpp:555:34: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:400:10: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:38: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Array > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::Array > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Array >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from 'class Eigen::Array' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:402:39: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:48: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/binomial_base.hpp:409:49: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase >, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase >, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase >, 0>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from 'class Eigen::MapBase >, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from 'class Eigen::Map >' wls_exp.cpp:40:5: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:796:8: required from 'struct glmnetpp::ElnetPointInternalGaussianWLSBase' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:10:8: required from 'struct glmnetpp::ElnetPointInternal::type::wls, double, int, int>' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:16:8: required from 'struct glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:8:8: required from 'struct glmnetpp::ElnetPointGaussianBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:9:8: required from 'struct glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >' wls_exp.cpp:52:17: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:796:8: required from 'struct glmnetpp::ElnetPointInternalGaussianWLSBase' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:10:8: required from 'struct glmnetpp::ElnetPointInternal::type::wls, double, int, int>' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:16:8: required from 'struct glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:8:8: required from 'struct glmnetpp::ElnetPointGaussianBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:9:8: required from 'struct glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >' wls_exp.cpp:52:17: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase > >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from 'class Eigen::SparseMapBase >, 0>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7: required from 'class Eigen::SparseMapBase >, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7: required from 'class Eigen::Map >' wls_exp.cpp:113:5: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> > >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase, 0, Eigen::Stride<0, 0> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7: required from 'class Eigen::SparseMapBase, 0, Eigen::Stride<0, 0> >, 0>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:255:7: required from 'class Eigen::Map, 0, Eigen::Stride<0, 0> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:150:32: required from 'struct glmnetpp::SpElnetPointInternal::type::wls, double, int, int>' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:16:8: required from 'struct glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:8:8: required from 'struct glmnetpp::ElnetPointGaussianBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:9:8: required from 'struct glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >' glmnetpp/include/glmnetpp_bits/elnet_point/sp_gaussian_wls.hpp:7:8: required from 'struct glmnetpp::SpElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >' wls_exp.cpp:125:17: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:22: required from 'typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from 'glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 2>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from 'class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:31: required from 'typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from 'glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from 'class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from 'class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from 'class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:40: required from 'typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from 'glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from 'class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:49: required from 'typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from 'glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Sparse>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:133:28: required from 'typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:85:41: required from 'glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XMType = Eigen::Map >; XSType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Sparse>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:133:44: required from 'typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:85:41: required from 'glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XMType = Eigen::Map >; XSType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:292:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:438:43: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::internal::IteratorBased, double>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1087:8: required from 'struct Eigen::internal::block_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true, false>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1034:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:334:8: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:133:59: required from 'typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:85:41: required from 'glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XMType = Eigen::Map >; XSType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Core:277: /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:407:54: required from 'struct Eigen::internal::sparse_conjunction_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:334:8: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseDot.h:29:32: required from 'typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:133:59: required from 'typename glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:85:41: required from 'glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XMType = Eigen::Map >; XSType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:55: required from 'typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from 'glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Map >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:206:64: required from 'static auto glmnetpp::ElnetPointInternalStaticBase::compute_grad(const RType&, const XType&) [with RType = Eigen::Map >; XType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ValueType = double; IndexType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:118:36: required from 'typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:123:25: required from 'typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_abs_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:75:41: required from 'glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Map >; Eigen::Index = long int]': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Map >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator > >; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Map >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Map >; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:83:33: required from 'glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::SpElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, const XMType&, const XSType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XMType = Eigen::Map >; XSType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from 'struct Eigen::internal::evaluator_wrapper_base, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from 'struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, double>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from 'struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >, Eigen::internal::IndexBased, double>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:55: required from 'typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from 'glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from 'class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from 'class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from 'class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from 'glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from 'static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from 'std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal::type::wls, double, int, int>]' wls_exp.cpp:55:24: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:94:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from 'glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from 'static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from 'std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal::type::wls, double, int, int>]' wls_exp.cpp:55:24: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, const Eigen::Matrix >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from 'struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:928:52: required from 'auto glmnetpp::ElnetPointInternalGaussianWLSBase::update_intercept(typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBaseViewer]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:99:33: required from 'void glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::update_intercept() [with ValueType = double; IndexType = int; BoolType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:55:31: required from 'std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal::type::wls, double, int, int>]' wls_exp.cpp:55:24: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:928:52: required from 'auto glmnetpp::ElnetPointInternalGaussianWLSBase::update_intercept(typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalBaseViewer]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:99:33: required from 'void glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::update_intercept() [with ValueType = double; IndexType = int; BoolType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:55:31: required from 'std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal::type::wls, double, int, int>]' wls_exp.cpp:55:24: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseBlock.h:17:7: required from 'class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Sparse>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from 'class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:110:23: required from 'void glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:57:27: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::update(typename base_t::index_t, const PointPackType&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointGaussianBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from 'glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from 'static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from 'std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>]' wls_exp.cpp:128:24: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Sparse>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:110:39: required from 'void glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:57:27: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::update(typename base_t::index_t, const PointPackType&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointGaussianBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from 'glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from 'static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from 'std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>]' wls_exp.cpp:128:24: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: required from 'static void glmnetpp::ElnetPointInternalGaussianNaiveBase::update_resid(RType&&, typename base_t::value_t, const XType&) [with RType = Eigen::Map >&; XType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianUniBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:92:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from 'glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from 'static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from 'std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal::type::wls, double, int, int>]' wls_exp.cpp:55:24: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from 'class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Sparse>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from 'class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_base.hpp:381:24: required from 'static void glmnetpp::ElnetPointInternalGaussianNaiveBase::update_resid(RType&&, typename base_t::value_t, const XType&) [with RType = Eigen::Map >&; XType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianUniBase]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:109:39: required from 'void glmnetpp::SpElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::update_resid(typename base_t::index_t, typename base_t::value_t) [with ValueType = double; IndexType = int; BoolType = int; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::value_t = double]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:57:27: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::update(typename base_t::index_t, const PointPackType&) [with typename base_t::update_t upd = glmnetpp::util::update_t::full; PointPackType = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>; typename base_t::index_t = int; base_t = glmnetpp::ElnetPointGaussianBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from 'glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from 'static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from 'std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>]' wls_exp.cpp:128:24: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> >, -1, 1, true> > > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:113:55: required from 'typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_xv(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:74:41: required from 'glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long int]': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from 'static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map >; U = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Map >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:206:64: required from 'static auto glmnetpp::ElnetPointInternalStaticBase::compute_grad(const RType&, const XType&) [with RType = Eigen::Map >; XType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ValueType = double; IndexType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:118:36: required from 'typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:123:25: required from 'typename glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::base_t::value_t glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::compute_abs_grad(typename base_t::index_t) const [with ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/gaussian_wls.hpp:75:41: required from 'glmnetpp::ElnetPointInternal::type::wls, ValueType, IndexType, BoolType>::ElnetPointInternal(typename base_t::value_t, typename base_t::value_t, typename base_t::value_t, const XType&, RType&, XVType&, const VType&, bool, const JUType&, const VPType&, const CLType&, typename base_t::index_t, typename base_t::value_t, typename base_t::index_t, AType&, typename base_t::value_t&, GType&, IAType&, IYType&, typename base_t::index_t&, MMType&, typename base_t::index_t&, typename base_t::value_t&, typename base_t::index_t&) [with XType = Eigen::Map >; RType = Eigen::Map >; XVType = Eigen::Map >; VType = Eigen::Map >; JUType = Eigen::Map, 0, Eigen::Stride<0, 0> >; VPType = Eigen::Map >; CLType = Eigen::Map >; AType = Eigen::Map >; GType = Eigen::Map >; IAType = Eigen::Map, 0, Eigen::Stride<0, 0> >; IYType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MMType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ValueType = double; IndexType = int; BoolType = int; typename base_t::value_t = double; base_t = glmnetpp::ElnetPointInternalGaussianWLSBase; typename base_t::index_t = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:93:23: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:45:7: required from 'Eigen::CwiseBinaryOpImpl::CwiseBinaryOpImpl() [with BinaryOp = Eigen::internal::scalar_product_op; Lhs = const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Rhs = const Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:111:49: required from 'Eigen::CwiseBinaryOp::CwiseBinaryOp(const Lhs&, const Rhs&, const BinaryOp&) [with BinaryOp = Eigen::internal::scalar_product_op; LhsType = const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; RhsType = const Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:689:62: required from 'const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType::Type Eigen::SparseMatrixBase::cwiseProduct(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; typename CwiseProductDenseReturnType::Type = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/sp_gaussian_wls.hpp:110:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from 'glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from 'static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from 'std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>]' wls_exp.cpp:128:24: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from 'struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from 'struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from 'struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from 'glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from 'static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from 'std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::ElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::ElnetPointInternal::type::wls, double, int, int>]' wls_exp.cpp:55:24: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase, Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase, Eigen::Matrix > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from 'class Eigen::CwiseNullaryOp, Eigen::Matrix >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from 'Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map >; Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from 'Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map >]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:143:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:43:46: required from 'glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&):::: [with auto:4 = int]' glmnetpp/include/glmnetpp_bits/elnet_point/internal/base.hpp:38:23: required from 'static constexpr void glmnetpp::ElnetPointInternalStaticBase::for_each_with_skip(Iter, Iter, UpdatePolicy, SkipPolicy) [with Iter = glmnetpp::util::counting_iterator; UpdatePolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; SkipPolicy = glmnetpp::ElnetPointCRTPBase::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> > >::fit::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack>(const glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack&)::::; ValueType = double; IndexType = int]' glmnetpp/include/glmnetpp_bits/elnet_point/base.hpp:40:45: required from 'std::pair glmnetpp::ElnetPointCRTPBase::fit(const PointConfigPack&) [with glmnetpp::util::update_type upd = glmnetpp::util::update_type::full; bool do_kkt = true; PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_base.hpp:35:78: required from 'void glmnetpp::ElnetPointGaussianBase::fit(const PointConfigPack&) [with PointConfigPack = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >::PointConfigPack; ElnetPointGaussianDerived = glmnetpp::ElnetPoint::type::wls, glmnetpp::SpElnetPointInternal::type::wls, double, int, int> >]' glmnetpp/include/glmnetpp_bits/elnet_point/gaussian_wls.hpp:43:24: required from 'void glmnetpp::ElnetPoint::type::wls, ElnetPointInternalPolicy>::fit(IntType, IntType&) [with IntType = int; ElnetPointInternalPolicy = glmnetpp::SpElnetPointInternal::type::wls, double, int, int>]' wls_exp.cpp:128:24: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o glmnet.so RcppExports.o coxnet5dpclean.o elnet_exp.o glmnet_init.o internal.o pb.o pb_exp.o wls_exp.o -lgfortran -lm -lquadmath installing to /tmp/th798/25890912/R-devel/861/library/00LOCK-glmnet/00new/glmnet/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (glmnet) * installing *source* package 'ranger' ... ** this is package 'ranger' version '0.17.0' ** package 'ranger' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/25890912/R-devel/861/library/Rcpp/include' -I'/tmp/th798/25890912/R-devel/861/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c AAA_check_cpp14.cpp -o AAA_check_cpp14.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/25890912/R-devel/861/library/Rcpp/include' -I'/tmp/th798/25890912/R-devel/861/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Data.cpp -o Data.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/25890912/R-devel/861/library/Rcpp/include' -I'/tmp/th798/25890912/R-devel/861/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c DataSparse.cpp -o DataSparse.o In file included from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/RcppEigenForward.h:28, from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/RcppEigen.h:25, from DataSparse.h:31, from DataSparse.cpp:29: /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/RcppEigenForward.h:29: /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/25890912/R-devel/861/library/Rcpp/include' -I'/tmp/th798/25890912/R-devel/861/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Forest.cpp -o Forest.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/25890912/R-devel/861/library/Rcpp/include' -I'/tmp/th798/25890912/R-devel/861/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ForestClassification.cpp -o ForestClassification.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/25890912/R-devel/861/library/Rcpp/include' -I'/tmp/th798/25890912/R-devel/861/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ForestProbability.cpp -o ForestProbability.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/25890912/R-devel/861/library/Rcpp/include' -I'/tmp/th798/25890912/R-devel/861/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ForestRegression.cpp -o ForestRegression.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/25890912/R-devel/861/library/Rcpp/include' -I'/tmp/th798/25890912/R-devel/861/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ForestSurvival.cpp -o ForestSurvival.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/25890912/R-devel/861/library/Rcpp/include' -I'/tmp/th798/25890912/R-devel/861/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c RcppExports.cpp -o RcppExports.o In file included from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/RcppEigenForward.h:28, from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:5: /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/RcppEigenForward.h:29: /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from 'struct Eigen::internal::evaluator > >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from 'struct Eigen::internal::evaluator >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:77:20: required from 'void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseAssign.h:132:28: required from 'static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix; Functor = Eigen::internal::assign_op; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::SparseMatrix; Src = Eigen::SparseMatrix; Func = assign_op]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:917:27: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:713:13: required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>&) [with _Scalar = double; int _Options = 0; _StorageIndex = int]' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/RcppEigenWrap.h:387:24: required from 'Eigen::SparseMatrix Rcpp::traits::Exporter >::get() [with T = double]' /tmp/th798/25890912/R-devel/861/library/Rcpp/include/Rcpp/as.h:89:32: required from 'T Rcpp::internal::as(SEXP, Rcpp::traits::r_type_generic_tag) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]' /tmp/th798/25890912/R-devel/861/library/Rcpp/include/Rcpp/as.h:152:31: required from 'T Rcpp::as(SEXP) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]' /tmp/th798/25890912/R-devel/861/library/Rcpp/include/Rcpp/InputParameter.h:46:54: required from 'Rcpp::ReferenceInputParameter::ReferenceInputParameter(SEXP) [with T = Eigen::SparseMatrix; SEXP = SEXPREC*]' RcppExports.cpp:59:94: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/25890912/R-devel/861/library/Rcpp/include' -I'/tmp/th798/25890912/R-devel/861/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Tree.cpp -o Tree.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/25890912/R-devel/861/library/Rcpp/include' -I'/tmp/th798/25890912/R-devel/861/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c TreeClassification.cpp -o TreeClassification.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/25890912/R-devel/861/library/Rcpp/include' -I'/tmp/th798/25890912/R-devel/861/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c TreeProbability.cpp -o TreeProbability.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/25890912/R-devel/861/library/Rcpp/include' -I'/tmp/th798/25890912/R-devel/861/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c TreeRegression.cpp -o TreeRegression.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/25890912/R-devel/861/library/Rcpp/include' -I'/tmp/th798/25890912/R-devel/861/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c TreeSurvival.cpp -o TreeSurvival.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/25890912/R-devel/861/library/Rcpp/include' -I'/tmp/th798/25890912/R-devel/861/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rangerCpp.cpp -o rangerCpp.o In file included from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Core:205, from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Dense:1, from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/RcppEigenForward.h:28, from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/RcppEigen.h:25, from rangerCpp.cpp:28: /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Core:174: /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL' 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Core:165: /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Core:271: /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from 'struct Eigen::internal::traits >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from 'struct Eigen::internal::traits >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes] /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase, 0>': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from 'class Eigen::DenseCoeffsBase, 1>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from 'class Eigen::DenseCoeffsBase, 3>' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from 'class Eigen::DenseBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from 'class Eigen::MatrixBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from 'class Eigen::PlainObjectBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from 'class Eigen::Matrix' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from 'class Eigen::QuaternionBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from 'class Eigen::Quaternion' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/SparseCore:37, from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/Sparse:26, from /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/RcppEigenForward.h:29: /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase >': /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from 'class Eigen::SparseCompressedBase >' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from 'class Eigen::SparseMatrix' /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /tmp/th798/25890912/R-devel/861/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits::type' {aka '__m128d'} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/25890912/R-devel/861/library/Rcpp/include' -I'/tmp/th798/25890912/R-devel/861/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utility.cpp -o utility.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-devel/include" -DNDEBUG -DR_BUILD -I'/tmp/th798/25890912/R-devel/861/library/Rcpp/include' -I'/tmp/th798/25890912/R-devel/861/library/RcppEigen/include' -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utilityRcpp.cpp -o utilityRcpp.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o ranger.so AAA_check_cpp14.o Data.o DataSparse.o Forest.o ForestClassification.o ForestProbability.o ForestRegression.o ForestSurvival.o RcppExports.o Tree.o TreeClassification.o TreeProbability.o TreeRegression.o TreeSurvival.o rangerCpp.o utility.o utilityRcpp.o installing to /tmp/th798/25890912/R-devel/861/library/00LOCK-ranger/00new/ranger/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ranger) * installing *source* package 'rmarkdown' ... ** this is package 'rmarkdown' version '2.30' ** package 'rmarkdown' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rmarkdown) * installing *source* package 'mlr3learners' ... ** this is package 'mlr3learners' version '0.14.0' ** package 'mlr3learners' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ranger_var.c -o ranger_var.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o mlr3learners.so init.o ranger_var.o installing to /tmp/th798/25890912/R-devel/861/library/00LOCK-mlr3learners/00new/mlr3learners/libs ** R ** inst ** byte-compile and prepare package for lazy loading Error: package 'mlr3' 0.21.1 was found, but >= 1.2.0 is required by 'mlr3learners' Execution halted ERROR: lazy loading failed for package 'mlr3learners' * removing '/tmp/th798/25890912/R-devel/861/library/mlr3learners' The downloaded source packages are in '/tmp/th798/25890912/RtmpYQW6J3/downloaded_packages' Warning messages: 1: In install.packages(rev.dep, dep = TRUE) : installation of package 'mlr3misc' had non-zero exit status 2: In install.packages(rev.dep, dep = TRUE) : installation of package 'xgboost' had non-zero exit status 3: In install.packages(rev.dep, dep = TRUE) : installation of package 'mlr3' had non-zero exit status 4: In install.packages(rev.dep, dep = TRUE) : installation of package 'mlr3learners' had non-zero exit status > cat("Time to install revdep:\n") Time to install revdep: > print(install.time) user system elapsed 431.485 29.817 494.644 > print(Sys.time()) [1] "2025-12-14 01:07:40 MST" > downloaded_packages <- file.path( + tempdir(), + "downloaded_packages") > dl.glob <- file.path( + downloaded_packages, + paste0(rev.dep,"_*.tar.gz")) > rev.dep.dl.row <- cbind(rev.dep, Sys.glob(dl.glob)) > colnames(rev.dep.dl.row) <- c("pkg","path") > rev.dep.release.tar.gz <- normalizePath(rev.dep.dl.row[,"path"], mustWork=TRUE) > pkg.Rcheck <- paste0(rev.dep, ".Rcheck") > > proj.dir <- "~/genomic-ml/data.table-revdeps" > source(file.path(proj.dir, "myStatus.R")) > Rvers <- gsub("[()]", "", gsub(" ", "_", R.version[["version.string"]])) > dir.create(Rvers, showWarnings=FALSE) > Rcheck.list <- list() > for(dt.version.short in c("release", "master")){ + dt.tar.gz <- cargs[[dt.version.short]] + dt.version <- gsub(".tar.gz|/.*?_", "", dt.tar.gz) + print(Sys.time()) + install.packages(dt.tar.gz, repos=NULL) + print(Sys.time()) + check.cmd <- get_check_cmd(rev.dep.release.tar.gz) + system(check.cmd) + print(Sys.time()) + dest.Rcheck <- file.path( + Rvers, + paste0(dt.version, ".Rcheck")) + unlink(dest.Rcheck, recursive=TRUE) + file.rename(pkg.Rcheck, dest.Rcheck) + Rcheck.list[[dt.version]] <- file.path(dest.Rcheck, "00check.log") + } [1] "2025-12-14 01:07:40 MST" Installing package into '/tmp/th798/25890912/R-devel/861/library' (as 'lib' is unspecified) * installing *source* package 'data.table' ... ** this is package 'data.table' version '1.17.8' ** package 'data.table' successfully unpacked and MD5 sums checked ** using staged installation zlib 1.2.13 is available ok * checking if R installation supports OpenMP without any extra hints... yes ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c assign.c -o assign.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c between.c -o between.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bmerge.c -o bmerge.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c chmatch.c -o chmatch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cj.c -o cj.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c coalesce.c -o coalesce.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dogroups.c -o dogroups.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fastmean.c -o fastmean.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fcast.c -o fcast.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fifelse.c -o fifelse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fmelt.c -o fmelt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c forder.c -o forder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frank.c -o frank.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fread.c -o fread.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c freadR.c -o freadR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c froll.c -o froll.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frollR.c -o frollR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frolladaptive.c -o frolladaptive.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fsort.c -o fsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwrite.c -o fwrite.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwriteR.c -o fwriteR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gsumm.c -o gsumm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idatetime.c -o idatetime.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ijoin.c -o ijoin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c inrange.c -o inrange.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nafill.c -o nafill.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c negate.c -o negate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nqrecreateindices.c -o nqrecreateindices.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c openmp-utils.c -o openmp-utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c programming.c -o programming.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c quickselect.c -o quickselect.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rbindlist.c -o rbindlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reorder.c -o reorder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c shift.c -o shift.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c snprintf.c -o snprintf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c subset.c -o subset.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c transpose.c -o transpose.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c types.c -o types.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c uniqlist.c -o uniqlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vecseq.c -o vecseq.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wrappers.c -o wrappers.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o data.table.so assign.o between.o bmerge.o chmatch.o cj.o coalesce.o dogroups.o fastmean.o fcast.o fifelse.o fmelt.o forder.o frank.o fread.o freadR.o froll.o frollR.o frolladaptive.o fsort.o fwrite.o fwriteR.o gsumm.o idatetime.o ijoin.o init.o inrange.o nafill.o negate.o nqrecreateindices.o openmp-utils.o programming.o quickselect.o rbindlist.o reorder.o shift.o snprintf.o subset.o transpose.o types.o uniqlist.o utils.o vecseq.o wrappers.o -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz PKG_CFLAGS = -fopenmp -I/home/th798/.conda/envs/emacs1/include PKG_LIBS = -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz if [ "data.table.so" != "data_table.so" ]; then mv data.table.so data_table.so; fi if [ "" != "Windows_NT" ] && [ `uname -s` = 'Darwin' ]; then install_name_tool -id data_table.so data_table.so; fi installing to /tmp/th798/25890912/R-devel/861/library/00LOCK-data.table/00new/data.table/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (data.table) [1] "2025-12-14 01:08:01 MST" * using log directory '/tmp/th798/25890912/R-devel/861/mlr3learners.Rcheck' * using R Under development (unstable) (2025-12-13 r89166) * using platform: x86_64-pc-linux-gnu * R was compiled by gcc (Spack GCC) 12.2.0 GNU Fortran (Spack GCC) 12.2.0 * running under: Red Hat Enterprise Linux 8.10 (Ootpa) * using session charset: ASCII * checking for file 'mlr3learners/DESCRIPTION' ... OK * this is package 'mlr3learners' version '0.14.0' * package encoding: UTF-8 * checking package namespace information ... OK * checking package dependencies ... ERROR Package required and available but unsuitable version: 'mlr3' See section 'The DESCRIPTION file' in the 'Writing R Extensions' manual. * DONE Status: 1 ERROR See '/tmp/th798/25890912/R-devel/861/mlr3learners.Rcheck/00check.log' for details. [1] "2025-12-14 01:08:05 MST" [1] "2025-12-14 01:08:05 MST" Installing package into '/tmp/th798/25890912/R-devel/861/library' (as 'lib' is unspecified) * installing *source* package 'data.table' ... ** this is package 'data.table' version '1.17.99' ** using staged installation zlib 1.2.13 is available ok * checking if R installation supports OpenMP without any extra hints... yes ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c assign.c -o assign.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c between.c -o between.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bmerge.c -o bmerge.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c chmatch.c -o chmatch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cj.c -o cj.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c coalesce.c -o coalesce.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dogroups.c -o dogroups.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fastmean.c -o fastmean.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fcast.c -o fcast.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fifelse.c -o fifelse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fmelt.c -o fmelt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c forder.c -o forder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frank.c -o frank.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fread.c -o fread.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c freadR.c -o freadR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c froll.c -o froll.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frollR.c -o frollR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frolladaptive.c -o frolladaptive.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frollapply.c -o frollapply.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fsort.c -o fsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwrite.c -o fwrite.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwriteR.c -o fwriteR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gsumm.c -o gsumm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idatetime.c -o idatetime.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ijoin.c -o ijoin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c inrange.c -o inrange.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mergelist.c -o mergelist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nafill.c -o nafill.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c negate.c -o negate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nqrecreateindices.c -o nqrecreateindices.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c openmp-utils.c -o openmp-utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c programming.c -o programming.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c quickselect.c -o quickselect.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rbindlist.c -o rbindlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reorder.c -o reorder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c shellsort.c -o shellsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c shift.c -o shift.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c snprintf.c -o snprintf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c subset.c -o subset.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c transpose.c -o transpose.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c types.c -o types.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c uniqlist.c -o uniqlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vecseq.c -o vecseq.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-devel/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wrappers.c -o wrappers.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o data.table.so assign.o between.o bmerge.o chmatch.o cj.o coalesce.o dogroups.o fastmean.o fcast.o fifelse.o fmelt.o forder.o frank.o fread.o freadR.o froll.o frollR.o frolladaptive.o frollapply.o fsort.o fwrite.o fwriteR.o gsumm.o idatetime.o ijoin.o init.o inrange.o mergelist.o nafill.o negate.o nqrecreateindices.o openmp-utils.o programming.o quickselect.o rbindlist.o reorder.o shellsort.o shift.o snprintf.o subset.o transpose.o types.o uniqlist.o utils.o vecseq.o wrappers.o -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz PKG_CFLAGS = -fopenmp -I/home/th798/.conda/envs/emacs1/include PKG_LIBS = -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz if [ "data.table.so" != "data_table.so" ]; then mv data.table.so data_table.so; fi if [ "" != "Windows_NT" ] && [ `uname -s` = 'Darwin' ]; then install_name_tool -id data_table.so data_table.so; fi installing to /tmp/th798/25890912/R-devel/861/library/00LOCK-data.table/00new/data.table/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (data.table) [1] "2025-12-14 01:08:29 MST" * using log directory '/tmp/th798/25890912/R-devel/861/mlr3learners.Rcheck' * using R Under development (unstable) (2025-12-13 r89166) * using platform: x86_64-pc-linux-gnu * R was compiled by gcc (Spack GCC) 12.2.0 GNU Fortran (Spack GCC) 12.2.0 * running under: Red Hat Enterprise Linux 8.10 (Ootpa) * using session charset: ASCII * checking for file 'mlr3learners/DESCRIPTION' ... OK * this is package 'mlr3learners' version '0.14.0' * package encoding: UTF-8 * checking package namespace information ... OK * checking package dependencies ... ERROR Package required and available but unsuitable version: 'mlr3' See section 'The DESCRIPTION file' in the 'Writing R Extensions' manual. * DONE Status: 1 ERROR See '/tmp/th798/25890912/R-devel/861/mlr3learners.Rcheck/00check.log' for details. [1] "2025-12-14 01:08:34 MST" > system(paste(c("diff -u", Rcheck.list), collapse=" ")) > library(data.table, lib.loc=R.home("library")) Error: package or namespace load failed for 'data.table' in dyn.load(file, DLLpath = DLLpath, ...): unable to load shared object '/projects/genomic-ml/R/R-devel/library/data.table/libs/data_table.so': /projects/genomic-ml/R/R-devel/library/data.table/libs/data_table.so: undefined symbol: Rf_GetOption Execution halted WARNING: ignoring environment value of R_HOME R version 4.5.2 (2025-10-31) -- "[Not] Part in a Rumble" Copyright (C) 2025 The R Foundation for Statistical Computing Platform: x86_64-pc-linux-gnu R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > cargs <- commandArgs(trailingOnly=TRUE) > if(length(cargs)==0){ + ## before running interactively, make sure to start emacs/R with + ## environment defined in /scratch/...check_one.sh, particularly + ## R_LIBS_USER=/tmp/... otherwise we get error when installing + ## data.table. + base <- "/scratch/th798/data.table-revdeps/*" + cargs <- c( + Sys.glob(file.path(base,"deps.csv")), + "349", + Sys.glob(file.path(base, "data.table_release_*tar.gz")), + Sys.glob(file.path(base, "data.table_master_*tar.gz")) + ) + } > names(cargs) <- c("deps.csv", "task.str", "release", "master") > dput(cargs) c(deps.csv = "/scratch/th798/data.table-revdeps/2025-12-14/deps.csv", task.str = "861", release = "/scratch/th798/data.table-revdeps/2025-12-14/data.table_release_1.17.8.tar.gz", master = "/scratch/th798/data.table-revdeps/2025-12-14/data.table_master_1.17.99.6329d94b83b72bb1f05dc2a10374e84a61ff950d.tar.gz" ) > (task.dir <- dirname(.libPaths()[1]))#should be /tmp/th798/slurmid/R-vers [1] "/tmp/th798/25890912/R-release/861" > if(requireNamespace("R.cache"))R.cache::getCachePath() Loading required namespace: R.cache [1] "/tmp/th798/25890912/R-release/861/R.cache" > task.id <- as.integer(cargs[["task.str"]]) > deps.df <- read.csv(cargs[["deps.csv"]]) > (rev.dep <- deps.df$Package[task.id]) [1] "mlr3learners" > job.dir <- file.path(dirname(cargs[["deps.csv"]]), "tasks", task.id) > setwd(task.dir) > .libPaths() [1] "/tmp/th798/25890912/R-release/861/library" [2] "/projects/genomic-ml/R/R-release/library" > options(repos=c(#this should be in ~/.Rprofile too. + CRAN="http://cloud.r-project.org")) > print(Sys.time()) [1] "2025-12-14 01:08:40 MST" > install.time <- system.time({ + install.packages(rev.dep, dep=TRUE) + }) Installing package into '/tmp/th798/25890912/R-release/861/library' (as 'lib' is unspecified) also installing the dependencies 'backports', 'evaluate', 'mlr3measures', 'mlr3misc', 'nanonext', 'mlr3', 'paradox', 'DiceKriging', 'mirai', 'rgenoud', 'xgboost' trying URL 'http://cloud.r-project.org/src/contrib/backports_1.5.0.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/evaluate_1.0.5.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/mlr3measures_1.2.0.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/mlr3misc_0.19.0.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/nanonext_1.7.2.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/mlr3_1.3.0.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/paradox_1.0.1.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/DiceKriging_1.6.1.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/mirai_2.5.3.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/rgenoud_5.9-0.11.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/xgboost_3.1.2.1.tar.gz' trying URL 'http://cloud.r-project.org/src/contrib/mlr3learners_0.14.0.tar.gz' * installing *source* package 'backports' ... ** this is package 'backports' version '1.5.0' ** package 'backports' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dotsElt.c -o dotsElt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dotsLength.c -o dotsLength.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dotsNames.c -o dotsNames.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o backports.so dotsElt.o dotsLength.o dotsNames.o init.o installing to /tmp/th798/25890912/R-release/861/library/00LOCK-backports/00new/backports/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (backports) * installing *source* package 'evaluate' ... ** this is package 'evaluate' version '1.0.5' ** package 'evaluate' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (evaluate) * installing *source* package 'nanonext' ... ** this is package 'nanonext' version '1.7.2' ** package 'nanonext' successfully unpacked and MD5 sums checked ** using staged installation Existing 'libmbedtls' >= 2.5.0 not found Detecting 'cmake'... /home/th798/.conda/envs/emacs1/bin/cmake Detecting 'xz'... /home/th798/.conda/envs/emacs1/bin/xz Compiling 'libmbedtls' from source ... -- The C compiler identification is GNU 12.2.0 -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /packages/gcc/12.2.0-nnbserq/bin/gcc - skipped -- Detecting C compile features -- Detecting C compile features - done -- Looking for pthread.h -- Looking for pthread.h - found -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed -- Check if compiler accepts -pthread -- Check if compiler accepts -pthread - yes -- Found Threads: TRUE -- Configuring done -- Generating done -- Build files have been written to: /tmp/th798/25890912/Rtmph08yJs/R.INSTALL3571a5455c9d9a/nanonext/mbedtls-362 [ 1%] Building C object library/CMakeFiles/mbedcrypto.dir/aes.c.o [ 2%] Building C object library/CMakeFiles/mbedcrypto.dir/aesni.c.o [ 4%] Building C object library/CMakeFiles/mbedcrypto.dir/aesce.c.o [ 5%] Building C object library/CMakeFiles/mbedcrypto.dir/asn1parse.c.o [ 6%] Building C object library/CMakeFiles/mbedcrypto.dir/asn1write.c.o [ 8%] Building C object library/CMakeFiles/mbedcrypto.dir/base64.c.o [ 9%] Building C object library/CMakeFiles/mbedcrypto.dir/bignum.c.o [ 10%] Building C object library/CMakeFiles/mbedcrypto.dir/bignum_core.c.o [ 12%] Building C object library/CMakeFiles/mbedcrypto.dir/block_cipher.c.o [ 13%] Building C object library/CMakeFiles/mbedcrypto.dir/ccm.c.o [ 14%] Building C object library/CMakeFiles/mbedcrypto.dir/chacha20.c.o [ 16%] Building C object library/CMakeFiles/mbedcrypto.dir/chachapoly.c.o [ 17%] Building C object library/CMakeFiles/mbedcrypto.dir/cipher.c.o [ 18%] Building C object library/CMakeFiles/mbedcrypto.dir/cipher_wrap.c.o [ 20%] Building C object library/CMakeFiles/mbedcrypto.dir/constant_time.c.o [ 21%] Building C object library/CMakeFiles/mbedcrypto.dir/cmac.c.o [ 22%] Building C object library/CMakeFiles/mbedcrypto.dir/ctr_drbg.c.o [ 24%] Building C object library/CMakeFiles/mbedcrypto.dir/des.c.o [ 25%] Building C object library/CMakeFiles/mbedcrypto.dir/dhm.c.o [ 26%] Building C object library/CMakeFiles/mbedcrypto.dir/ecdh.c.o [ 28%] Building C object library/CMakeFiles/mbedcrypto.dir/ecdsa.c.o [ 29%] Building C object library/CMakeFiles/mbedcrypto.dir/ecp.c.o [ 30%] Building C object library/CMakeFiles/mbedcrypto.dir/ecp_curves.c.o [ 32%] Building C object library/CMakeFiles/mbedcrypto.dir/entropy.c.o [ 33%] Building C object library/CMakeFiles/mbedcrypto.dir/entropy_poll.c.o [ 34%] Building C object library/CMakeFiles/mbedcrypto.dir/error.c.o [ 36%] Building C object library/CMakeFiles/mbedcrypto.dir/gcm.c.o [ 37%] Building C object library/CMakeFiles/mbedcrypto.dir/hkdf.c.o [ 38%] Building C object library/CMakeFiles/mbedcrypto.dir/md.c.o [ 40%] Building C object library/CMakeFiles/mbedcrypto.dir/md5.c.o [ 41%] Building C object library/CMakeFiles/mbedcrypto.dir/nist_kw.c.o [ 42%] Building C object library/CMakeFiles/mbedcrypto.dir/oid.c.o [ 44%] Building C object library/CMakeFiles/mbedcrypto.dir/padlock.c.o [ 45%] Building C object library/CMakeFiles/mbedcrypto.dir/pem.c.o [ 46%] Building C object library/CMakeFiles/mbedcrypto.dir/pk.c.o [ 48%] Building C object library/CMakeFiles/mbedcrypto.dir/pk_ecc.c.o [ 49%] Building C object library/CMakeFiles/mbedcrypto.dir/pk_wrap.c.o [ 50%] Building C object library/CMakeFiles/mbedcrypto.dir/pkcs12.c.o [ 52%] Building C object library/CMakeFiles/mbedcrypto.dir/pkcs5.c.o [ 53%] Building C object library/CMakeFiles/mbedcrypto.dir/pkparse.c.o [ 54%] Building C object library/CMakeFiles/mbedcrypto.dir/pkwrite.c.o [ 56%] Building C object library/CMakeFiles/mbedcrypto.dir/platform.c.o [ 57%] Building C object library/CMakeFiles/mbedcrypto.dir/platform_util.c.o [ 58%] Building C object library/CMakeFiles/mbedcrypto.dir/poly1305.c.o [ 60%] Building C object library/CMakeFiles/mbedcrypto.dir/rsa.c.o [ 61%] Building C object library/CMakeFiles/mbedcrypto.dir/rsa_alt_helpers.c.o [ 62%] Building C object library/CMakeFiles/mbedcrypto.dir/sha1.c.o [ 64%] Building C object library/CMakeFiles/mbedcrypto.dir/sha256.c.o [ 65%] Building C object library/CMakeFiles/mbedcrypto.dir/sha512.c.o [ 66%] Building C object library/CMakeFiles/mbedcrypto.dir/threading.c.o [ 68%] Building C object library/CMakeFiles/mbedcrypto.dir/timing.c.o [ 69%] Building C object library/CMakeFiles/mbedcrypto.dir/version.c.o [ 70%] Building C object library/CMakeFiles/mbedcrypto.dir/version_features.c.o [ 72%] Linking C static library libmbedcrypto.b [ 72%] Built target mbedcrypto [ 73%] Building C object library/CMakeFiles/mbedx509.dir/pkcs7.c.o [ 74%] Building C object library/CMakeFiles/mbedx509.dir/x509.c.o [ 76%] Building C object library/CMakeFiles/mbedx509.dir/x509_create.c.o [ 77%] Building C object library/CMakeFiles/mbedx509.dir/x509_crl.c.o [ 78%] Building C object library/CMakeFiles/mbedx509.dir/x509_crt.c.o [ 80%] Building C object library/CMakeFiles/mbedx509.dir/x509_csr.c.o [ 81%] Building C object library/CMakeFiles/mbedx509.dir/x509write.c.o [ 82%] Building C object library/CMakeFiles/mbedx509.dir/x509write_crt.c.o [ 84%] Building C object library/CMakeFiles/mbedx509.dir/x509write_csr.c.o [ 85%] Linking C static library libmbedx509.b [ 85%] Built target mbedx509 [ 86%] Building C object library/CMakeFiles/mbedtls.dir/net_sockets.c.o [ 88%] Building C object library/CMakeFiles/mbedtls.dir/ssl_cache.c.o [ 89%] Building C object library/CMakeFiles/mbedtls.dir/ssl_ciphersuites.c.o [ 90%] Building C object library/CMakeFiles/mbedtls.dir/ssl_client.c.o [ 92%] Building C object library/CMakeFiles/mbedtls.dir/ssl_cookie.c.o [ 93%] Building C object library/CMakeFiles/mbedtls.dir/ssl_msg.c.o [ 94%] Building C object library/CMakeFiles/mbedtls.dir/ssl_ticket.c.o [ 96%] Building C object library/CMakeFiles/mbedtls.dir/ssl_tls.c.o [ 97%] Building C object library/CMakeFiles/mbedtls.dir/ssl_tls12_client.c.o [ 98%] Building C object library/CMakeFiles/mbedtls.dir/ssl_tls12_server.c.o [100%] Linking C static library libmbedtls.b [100%] Built target mbedtls Install the project... -- Install configuration: "Release" Existing 'libnng' >= 1.9.0 not found Detecting 'cmake'... /home/th798/.conda/envs/emacs1/bin/cmake Detecting 'xz'... /home/th798/.conda/envs/emacs1/bin/xz Compiling 'libnng' from source ... -- The C compiler identification is GNU 12.2.0 -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /packages/gcc/12.2.0-nnbserq/bin/gcc - skipped -- Detecting C compile features -- Detecting C compile features - done -- Configuring for NNG version 1.11.0 -- Performing Test NNG_HIDDEN_VISIBILITY -- Performing Test NNG_HIDDEN_VISIBILITY - Success -- Looking for strlcpy -- Looking for strlcpy - not found -- Looking for strnlen -- Looking for strnlen - found -- Looking for strcasecmp -- Looking for strcasecmp - found -- Looking for strncasecmp -- Looking for strncasecmp - found -- Looking for pthread.h -- Looking for pthread.h - found -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed -- Looking for pthread_create in pthreads -- Looking for pthread_create in pthreads - not found -- Looking for pthread_create in pthread -- Looking for pthread_create in pthread - found -- Found Threads: TRUE -- Looking for lockf -- Looking for lockf - found -- Looking for flock -- Looking for flock - found -- Looking for getrandom -- Looking for getrandom - found -- Looking for arc4random_buf -- Looking for arc4random_buf - not found -- Looking for clock_gettime -- Looking for clock_gettime - found -- Looking for sem_wait in pthread -- Looking for sem_wait in pthread - found -- Looking for pthread_atfork in pthread -- Looking for pthread_atfork in pthread - found -- Looking for pthread_set_name_np in pthread -- Looking for pthread_set_name_np in pthread - not found -- Looking for pthread_setname_np in pthread -- Looking for pthread_setname_np in pthread - found -- Looking for gethostbyname in nsl -- Looking for gethostbyname in nsl - found -- Looking for socket in socket -- Looking for socket in socket - not found -- Looking for __atomic_load_1 in atomic -- Looking for __atomic_load_1 in atomic - found -- Looking for AF_UNIX -- Looking for AF_UNIX - found -- Looking for backtrace_symbols_fd -- Looking for backtrace_symbols_fd - found -- Performing Test NNG_HAVE_MSG_CONTROL -- Performing Test NNG_HAVE_MSG_CONTROL - Success -- Looking for eventfd -- Looking for eventfd - found -- Looking for kqueue -- Looking for kqueue - not found -- Looking for port_create -- Looking for port_create - not found -- Looking for epoll_create -- Looking for epoll_create - found -- Looking for epoll_create1 -- Looking for epoll_create1 - found -- Looking for getpeereid -- Looking for getpeereid - not found -- Looking for SO_PEERCRED -- Looking for SO_PEERCRED - found -- Performing Test NNG_HAVE_SOCKPEERCRED -- Performing Test NNG_HAVE_SOCKPEERCRED - Failed -- Looking for LOCAL_PEERCRED -- Looking for LOCAL_PEERCRED - not found -- Looking for LOCAL_PEERPID -- Looking for LOCAL_PEERPID - not found -- Looking for getpeerucred -- Looking for getpeerucred - not found -- Looking for atomic_flag_test_and_set -- Looking for atomic_flag_test_and_set - found -- Looking for socketpair -- Looking for socketpair - found -- Found mbedTLS: /tmp/th798/25890912/Rtmph08yJs/R.INSTALL3571a5455c9d9a/nanonext/install/lib/libmbedtls.b (found version "3.6.2") -- Configuring done -- Generating done -- Build files have been written to: /tmp/th798/25890912/Rtmph08yJs/R.INSTALL3571a5455c9d9a/nanonext/nng-111 [ 0%] Building C object CMakeFiles/nng.dir/src/nng.c.o [ 2%] Building C object CMakeFiles/nng.dir/src/core/aio.c.o [ 2%] Building C object CMakeFiles/nng.dir/src/core/device.c.o [ 4%] Building C object CMakeFiles/nng.dir/src/core/dialer.c.o [ 4%] Building C object CMakeFiles/nng.dir/src/core/sockfd.c.o [ 6%] Building C object CMakeFiles/nng.dir/src/core/file.c.o [ 8%] Building C object CMakeFiles/nng.dir/src/core/idhash.c.o [ 8%] Building C object CMakeFiles/nng.dir/src/core/init.c.o [ 10%] Building C object CMakeFiles/nng.dir/src/core/list.c.o [ 10%] Building C object CMakeFiles/nng.dir/src/core/listener.c.o [ 12%] Building C object CMakeFiles/nng.dir/src/core/lmq.c.o [ 12%] Building C object 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object CMakeFiles/nng.dir/src/supplemental/http/http_conn.c.o [ 88%] Building C object CMakeFiles/nng.dir/src/supplemental/http/http_msg.c.o [ 90%] Building C object CMakeFiles/nng.dir/src/supplemental/http/http_schemes.c.o [ 90%] Building C object CMakeFiles/nng.dir/src/supplemental/http/http_server.c.o [ 92%] Building C object CMakeFiles/nng.dir/src/supplemental/sha1/sha1.c.o [ 94%] Building C object CMakeFiles/nng.dir/src/supplemental/tls/mbedtls/tls.c.o [ 94%] Building C object CMakeFiles/nng.dir/src/supplemental/tls/tls_common.c.o [ 96%] Building C object CMakeFiles/nng.dir/src/supplemental/util/options.c.o [ 96%] Building C object CMakeFiles/nng.dir/src/supplemental/util/platform.c.o [ 98%] Building C object CMakeFiles/nng.dir/src/supplemental/websocket/websocket.c.o [100%] Linking C static library libnng.b [100%] Built target nng Install the project... -- Install configuration: "Release" ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../install/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c aio.c -o aio.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../install/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c comms.c -o comms.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../install/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c core.c -o core.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../install/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../install/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ncurl.c -o ncurl.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../install/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c net.c -o net.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../install/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c proto.c -o proto.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../install/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c sync.c -o sync.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../install/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c thread.c -o thread.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../install/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c tls.c -o tls.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -I../install/include -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o nanonext.so aio.o comms.o core.o init.o ncurl.o net.o proto.o sync.o thread.o tls.o utils.o ../install/lib/libnng.b ../install/lib/libmbedtls.b ../install/lib/libmbedx509.b ../install/lib/libmbedcrypto.b installing to /tmp/th798/25890912/R-release/861/library/00LOCK-nanonext/00new/nanonext/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (nanonext) * installing *source* package 'DiceKriging' ... ** this is package 'DiceKriging' version '1.6.1' ** package 'DiceKriging' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c CovFuns.c -o CovFuns.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c Scaling.c -o Scaling.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o DiceKriging.so CovFuns.o Scaling.o init.o installing to /tmp/th798/25890912/R-release/861/library/00LOCK-DiceKriging/00new/DiceKriging/libs ** R ** inst ** byte-compile and prepare package for lazy loading Note: ... may be used in an incorrect context ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (DiceKriging) * installing *source* package 'rgenoud' ... ** this is package 'rgenoud' version '5.9-0.11' ** package 'rgenoud' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c change_order.cpp -o change_order.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c eval.cpp -o eval.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c evaluate.cpp -o evaluate.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frange_ran.cpp -o frange_ran.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c genoud.cpp -o genoud.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gradient.cpp -o gradient.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c math.cpp -o math.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c multiply.cpp -o multiply.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c numerics.cpp -o numerics.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c operators.cpp -o operators.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c print_format.cpp -o print_format.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rgenoud.cpp -o rgenoud.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o rgenoud.so change_order.o eval.o evaluate.o frange_ran.o genoud.o gradient.o init.o math.o multiply.o numerics.o operators.o print_format.o rgenoud.o installing to /tmp/th798/25890912/R-release/861/library/00LOCK-rgenoud/00new/rgenoud/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rgenoud) * installing *source* package 'xgboost' ... ** this is package 'xgboost' version '3.1.2.1' ** package 'xgboost' successfully unpacked and MD5 sums checked ** using staged installation configure: Checking if/where backtrace is available checking whether the C++ compiler works... yes checking for C++ compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether the compiler supports GNU C++... yes checking whether /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 accepts -g... yes checking for /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 option to enable C++11 features... none needed checking for backtrace in -lexecinfo... no checking for backtrace... yes configure: Checking whether fopen64 is available checking for fopen64... yes configure: Endian detection checking for stdio.h... yes checking for stdlib.h... yes checking for string.h... yes checking for inttypes.h... yes checking for stdint.h... yes checking for strings.h... yes checking for sys/stat.h... yes checking for sys/types.h... yes checking for unistd.h... yes configure: Checking system endianness as USE_LITTLE_ENDIAN is unset checking whether byte ordering is bigendian... no using little endian configure: Checking for prefetch builtin Doesn't have __builtin_prefetch configure: Checking for mm_prefetch Has _mm_prefetch configure: creating ./config.status config.status: creating src/Makevars config.status: creating src/config.h config.status: src/config.h is unchanged ** libs Makevars:22: -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 Makevars:22: -DXGBOOST_STRICT_R_MODE=1 Makevars:22: -DDMLC_LOG_BEFORE_THROW=0 Makevars:22: -DDMLC_ENABLE_STD_THREAD=1 Makevars:22: -DDMLC_DISABLE_STDIN=1 Makevars:22: -DDMLC_LOG_CUSTOMIZE=1 using C compiler: 'gcc (Spack GCC) 12.2.0' using C++ compiler: 'g++ (Spack GCC) 12.2.0' using C++17 Makevars:22: -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 Makevars:22: -DXGBOOST_STRICT_R_MODE=1 Makevars:22: -DDMLC_LOG_BEFORE_THROW=0 Makevars:22: -DDMLC_ENABLE_STD_THREAD=1 Makevars:22: -DDMLC_DISABLE_STDIN=1 Makevars:22: -DDMLC_LOG_CUSTOMIZE=1 /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xgboost_R.cc -o xgboost_R.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c xgboost_custom.cc -o xgboost_custom.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/metric/metric.cc -o src/metric/metric.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/metric/elementwise_metric.cc -o src/metric/elementwise_metric.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/metric/multiclass_metric.cc -o src/metric/multiclass_metric.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/metric/rank_metric.cc -o src/metric/rank_metric.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/metric/auc.cc -o src/metric/auc.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/metric/survival_metric.cc -o src/metric/survival_metric.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/objective/objective.cc -o src/objective/objective.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/objective/regression_obj.cc -o src/objective/regression_obj.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/objective/multiclass_obj.cc -o src/objective/multiclass_obj.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/objective/lambdarank_obj.cc -o src/objective/lambdarank_obj.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/objective/hinge.cc -o src/objective/hinge.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/objective/aft_obj.cc -o src/objective/aft_obj.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/objective/adaptive.cc -o src/objective/adaptive.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/objective/init_estimation.cc -o src/objective/init_estimation.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/objective/quantile_obj.cc -o src/objective/quantile_obj.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/gbm/gbm.cc -o src/gbm/gbm.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/gbm/gbtree.cc -o src/gbm/gbtree.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/gbm/gbtree_model.cc -o src/gbm/gbtree_model.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/gbm/gblinear.cc -o src/gbm/gblinear.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/gbm/gblinear_model.cc -o src/gbm/gblinear_model.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/adapter.cc -o src/data/adapter.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/array_interface.cc -o src/data/array_interface.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/cat_container.cc -o src/data/cat_container.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/simple_dmatrix.cc -o src/data/simple_dmatrix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/data.cc -o src/data/data.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/sparse_page_raw_format.cc -o src/data/sparse_page_raw_format.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/ellpack_page.cc -o src/data/ellpack_page.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/file_iterator.cc -o src/data/file_iterator.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/gradient_index.cc -o src/data/gradient_index.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/gradient_index_page_source.cc -o src/data/gradient_index_page_source.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/gradient_index_format.cc -o src/data/gradient_index_format.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/validation.cc -o src/data/validation.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/sparse_page_dmatrix.cc -o src/data/sparse_page_dmatrix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/sparse_page_source.cc -o src/data/sparse_page_source.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/extmem_quantile_dmatrix.cc -o src/data/extmem_quantile_dmatrix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/quantile_dmatrix.cc -o src/data/quantile_dmatrix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/batch_utils.cc -o src/data/batch_utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/proxy_dmatrix.cc -o src/data/proxy_dmatrix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/data/iterative_dmatrix.cc -o src/data/iterative_dmatrix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/predictor/predictor.cc -o src/predictor/predictor.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/predictor/cpu_predictor.cc -o src/predictor/cpu_predictor.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/predictor/treeshap.cc -o src/predictor/treeshap.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/constraints.cc -o src/tree/constraints.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/param.cc -o src/tree/param.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/fit_stump.cc -o src/tree/fit_stump.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/tree_model.cc -o src/tree/tree_model.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/tree_updater.cc -o src/tree/tree_updater.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/multi_target_tree_model.cc -o src/tree/multi_target_tree_model.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/updater_approx.cc -o src/tree/updater_approx.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/updater_colmaker.cc -o src/tree/updater_colmaker.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/updater_prune.cc -o src/tree/updater_prune.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/updater_quantile_hist.cc -o src/tree/updater_quantile_hist.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/updater_refresh.cc -o src/tree/updater_refresh.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/updater_sync.cc -o src/tree/updater_sync.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/hist/hist_param.cc -o src/tree/hist/hist_param.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/tree/hist/histogram.cc -o src/tree/hist/histogram.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/linear/linear_updater.cc -o src/linear/linear_updater.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/linear/updater_coordinate.cc -o src/linear/updater_coordinate.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/linear/updater_shotgun.cc -o src/linear/updater_shotgun.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/learner.cc -o src/learner.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/context.cc -o src/context.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/logging.cc -o src/logging.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/global_config.cc -o src/global_config.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/result.cc -o src/collective/result.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/allgather.cc -o src/collective/allgather.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/allreduce.cc -o src/collective/allreduce.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/broadcast.cc -o src/collective/broadcast.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/comm.cc -o src/collective/comm.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/comm_group.cc -o src/collective/comm_group.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/coll.cc -o src/collective/coll.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/tracker.cc -o src/collective/tracker.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/in_memory_handler.cc -o src/collective/in_memory_handler.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/loop.cc -o src/collective/loop.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/collective/socket.cc -o src/collective/socket.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/charconv.cc -o src/common/charconv.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/column_matrix.cc -o src/common/column_matrix.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/common.cc -o src/common/common.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/cuda_rt_utils.cc -o src/common/cuda_rt_utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/error_msg.cc -o src/common/error_msg.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/hist_util.cc -o src/common/hist_util.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/host_device_vector.cc -o src/common/host_device_vector.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/io.cc -o src/common/io.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/json.cc -o src/common/json.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/linalg_op.cc -o src/common/linalg_op.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/numeric.cc -o src/common/numeric.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/optional_weight.cc -o src/common/optional_weight.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/pseudo_huber.cc -o src/common/pseudo_huber.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/quantile.cc -o src/common/quantile.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/random.cc -o src/common/random.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/stats.cc -o src/common/stats.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/survival_util.cc -o src/common/survival_util.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/threading_utils.cc -o src/common/threading_utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/ranking_utils.cc -o src/common/ranking_utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/param_array.cc -o src/common/param_array.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/quantile_loss_utils.cc -o src/common/quantile_loss_utils.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/timer.cc -o src/common/timer.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/common/version.cc -o src/common/version.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/c_api/c_api.cc -o src/c_api/c_api.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c src/c_api/c_api_error.cc -o src/c_api/c_api_error.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -I"/home/th798/R/R-release/include" -DNDEBUG -I./include -I./dmlc-core/include -I. -DXGBOOST_BUILTIN_PREFETCH_PRESENT=1 -DXGBOOST_STRICT_R_MODE=1 -DDMLC_LOG_BEFORE_THROW=0 -DDMLC_ENABLE_STD_THREAD=1 -DDMLC_DISABLE_STDIN=1 -DDMLC_LOG_CUSTOMIZE=1 -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread -fvisibility=hidden -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c amalgamation/dmlc-minimum0.cc -o amalgamation/dmlc-minimum0.o /packages/gcc/12.2.0-nnbserq/bin/g++ -std=gnu++17 -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o xgboost.so ./xgboost_R.o ./xgboost_custom.o ./init.o ./src/metric/metric.o ./src/metric/elementwise_metric.o ./src/metric/multiclass_metric.o ./src/metric/rank_metric.o ./src/metric/auc.o ./src/metric/survival_metric.o ./src/objective/objective.o ./src/objective/regression_obj.o ./src/objective/multiclass_obj.o ./src/objective/lambdarank_obj.o ./src/objective/hinge.o ./src/objective/aft_obj.o ./src/objective/adaptive.o ./src/objective/init_estimation.o ./src/objective/quantile_obj.o ./src/gbm/gbm.o ./src/gbm/gbtree.o ./src/gbm/gbtree_model.o ./src/gbm/gblinear.o ./src/gbm/gblinear_model.o ./src/data/adapter.o ./src/data/array_interface.o ./src/data/cat_container.o ./src/data/simple_dmatrix.o ./src/data/data.o ./src/data/sparse_page_raw_format.o ./src/data/ellpack_page.o ./src/data/file_iterator.o ./src/data/gradient_index.o ./src/data/gradient_index_page_source.o ./src/data/gradient_index_format.o ./src/data/validation.o ./src/data/sparse_page_dmatrix.o ./src/data/sparse_page_source.o ./src/data/extmem_quantile_dmatrix.o ./src/data/quantile_dmatrix.o ./src/data/batch_utils.o ./src/data/proxy_dmatrix.o ./src/data/iterative_dmatrix.o ./src/predictor/predictor.o ./src/predictor/cpu_predictor.o ./src/predictor/treeshap.o ./src/tree/constraints.o ./src/tree/param.o ./src/tree/fit_stump.o ./src/tree/tree_model.o ./src/tree/tree_updater.o ./src/tree/multi_target_tree_model.o ./src/tree/updater_approx.o ./src/tree/updater_colmaker.o ./src/tree/updater_prune.o ./src/tree/updater_quantile_hist.o ./src/tree/updater_refresh.o ./src/tree/updater_sync.o ./src/tree/hist/hist_param.o ./src/tree/hist/histogram.o ./src/linear/linear_updater.o ./src/linear/updater_coordinate.o ./src/linear/updater_shotgun.o ./src/learner.o ./src/context.o ./src/logging.o ./src/global_config.o ./src/collective/result.o ./src/collective/allgather.o ./src/collective/allreduce.o ./src/collective/broadcast.o ./src/collective/comm.o ./src/collective/comm_group.o ./src/collective/coll.o ./src/collective/tracker.o ./src/collective/in_memory_handler.o ./src/collective/loop.o ./src/collective/socket.o ./src/common/charconv.o ./src/common/column_matrix.o ./src/common/common.o ./src/common/cuda_rt_utils.o ./src/common/error_msg.o ./src/common/hist_util.o ./src/common/host_device_vector.o ./src/common/io.o ./src/common/json.o ./src/common/linalg_op.o ./src/common/numeric.o ./src/common/optional_weight.o ./src/common/pseudo_huber.o ./src/common/quantile.o ./src/common/random.o ./src/common/stats.o ./src/common/survival_util.o ./src/common/threading_utils.o ./src/common/ranking_utils.o ./src/common/param_array.o ./src/common/quantile_loss_utils.o ./src/common/timer.o ./src/common/version.o ./src/c_api/c_api.o ./src/c_api/c_api_error.o ./amalgamation/dmlc-minimum0.o -fopenmp -DDMLC_CMAKE_LITTLE_ENDIAN=1 -pthread installing to /tmp/th798/25890912/R-release/861/library/00LOCK-xgboost/00new/xgboost/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (xgboost) * installing *source* package 'mlr3misc' ... ** this is package 'mlr3misc' version '0.19.0' ** package 'mlr3misc' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c count_missing.c -o count_missing.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c keep_in_bounds.c -o keep_in_bounds.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c to_decimal.c -o to_decimal.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c which_max.c -o which_max.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o mlr3misc.so count_missing.o init.o keep_in_bounds.o to_decimal.o which_max.o installing to /tmp/th798/25890912/R-release/861/library/00LOCK-mlr3misc/00new/mlr3misc/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlr3misc) * installing *source* package 'mirai' ... ** this is package 'mirai' version '2.5.3' ** package 'mirai' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mirai) * installing *source* package 'mlr3measures' ... ** this is package 'mlr3measures' version '1.2.0' ** package 'mlr3measures' successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlr3measures) * installing *source* package 'paradox' ... ** this is package 'paradox' version '1.0.1' ** package 'paradox' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (paradox) * installing *source* package 'mlr3' ... ** this is package 'mlr3' version '1.3.0' ** package 'mlr3' successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlr3) * installing *source* package 'mlr3learners' ... ** this is package 'mlr3learners' version '0.14.0' ** package 'mlr3learners' successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ranger_var.c -o ranger_var.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o mlr3learners.so init.o ranger_var.o installing to /tmp/th798/25890912/R-release/861/library/00LOCK-mlr3learners/00new/mlr3learners/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlr3learners) The downloaded source packages are in '/tmp/th798/25890912/RtmpZWza4v/downloaded_packages' > cat("Time to install revdep:\n") Time to install revdep: > print(install.time) user system elapsed 381.880 29.313 440.364 > print(Sys.time()) [1] "2025-12-14 01:16:01 MST" > downloaded_packages <- file.path( + tempdir(), + "downloaded_packages") > dl.glob <- file.path( + downloaded_packages, + paste0(rev.dep,"_*.tar.gz")) > rev.dep.dl.row <- cbind(rev.dep, Sys.glob(dl.glob)) > colnames(rev.dep.dl.row) <- c("pkg","path") > rev.dep.release.tar.gz <- normalizePath(rev.dep.dl.row[,"path"], mustWork=TRUE) > pkg.Rcheck <- paste0(rev.dep, ".Rcheck") > > proj.dir <- "~/genomic-ml/data.table-revdeps" > source(file.path(proj.dir, "myStatus.R")) > Rvers <- gsub("[()]", "", gsub(" ", "_", R.version[["version.string"]])) > dir.create(Rvers, showWarnings=FALSE) > Rcheck.list <- list() > for(dt.version.short in c("release", "master")){ + dt.tar.gz <- cargs[[dt.version.short]] + dt.version <- gsub(".tar.gz|/.*?_", "", dt.tar.gz) + print(Sys.time()) + install.packages(dt.tar.gz, repos=NULL) + print(Sys.time()) + check.cmd <- get_check_cmd(rev.dep.release.tar.gz) + system(check.cmd) + print(Sys.time()) + dest.Rcheck <- file.path( + Rvers, + paste0(dt.version, ".Rcheck")) + unlink(dest.Rcheck, recursive=TRUE) + file.rename(pkg.Rcheck, dest.Rcheck) + Rcheck.list[[dt.version]] <- file.path(dest.Rcheck, "00check.log") + } [1] "2025-12-14 01:16:01 MST" Installing package into '/tmp/th798/25890912/R-release/861/library' (as 'lib' is unspecified) * installing *source* package 'data.table' ... ** this is package 'data.table' version '1.17.8' ** package 'data.table' successfully unpacked and MD5 sums checked ** using staged installation zlib 1.2.13 is available ok * checking if R installation supports OpenMP without any extra hints... yes ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c assign.c -o assign.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c between.c -o between.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bmerge.c -o bmerge.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c chmatch.c -o chmatch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cj.c -o cj.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c coalesce.c -o coalesce.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dogroups.c -o dogroups.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fastmean.c -o fastmean.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fcast.c -o fcast.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fifelse.c -o fifelse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fmelt.c -o fmelt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c forder.c -o forder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frank.c -o frank.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fread.c -o fread.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c freadR.c -o freadR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c froll.c -o froll.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frollR.c -o frollR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frolladaptive.c -o frolladaptive.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fsort.c -o fsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwrite.c -o fwrite.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwriteR.c -o fwriteR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gsumm.c -o gsumm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idatetime.c -o idatetime.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ijoin.c -o ijoin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c inrange.c -o inrange.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nafill.c -o nafill.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c negate.c -o negate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nqrecreateindices.c -o nqrecreateindices.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c openmp-utils.c -o openmp-utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c programming.c -o programming.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c quickselect.c -o quickselect.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rbindlist.c -o rbindlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reorder.c -o reorder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c shift.c -o shift.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c snprintf.c -o snprintf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c subset.c -o subset.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c transpose.c -o transpose.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c types.c -o types.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c uniqlist.c -o uniqlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vecseq.c -o vecseq.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wrappers.c -o wrappers.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o data.table.so assign.o between.o bmerge.o chmatch.o cj.o coalesce.o dogroups.o fastmean.o fcast.o fifelse.o fmelt.o forder.o frank.o fread.o freadR.o froll.o frollR.o frolladaptive.o fsort.o fwrite.o fwriteR.o gsumm.o idatetime.o ijoin.o init.o inrange.o nafill.o negate.o nqrecreateindices.o openmp-utils.o programming.o quickselect.o rbindlist.o reorder.o shift.o snprintf.o subset.o transpose.o types.o uniqlist.o utils.o vecseq.o wrappers.o -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz PKG_CFLAGS = -fopenmp -I/home/th798/.conda/envs/emacs1/include PKG_LIBS = -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz if [ "data.table.so" != "data_table.so" ]; then mv data.table.so data_table.so; fi if [ "" != "Windows_NT" ] && [ `uname -s` = 'Darwin' ]; then install_name_tool -id data_table.so data_table.so; fi installing to /tmp/th798/25890912/R-release/861/library/00LOCK-data.table/00new/data.table/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (data.table) [1] "2025-12-14 01:16:22 MST" * using log directory '/tmp/th798/25890912/R-release/861/mlr3learners.Rcheck' * using R version 4.5.2 (2025-10-31) * using platform: x86_64-pc-linux-gnu * R was compiled by gcc (Spack GCC) 12.2.0 GNU Fortran (Spack GCC) 12.2.0 * running under: Red Hat Enterprise Linux 8.10 (Ootpa) * using session charset: ASCII * checking for file 'mlr3learners/DESCRIPTION' ... OK * this is package 'mlr3learners' version '0.14.0' * package encoding: UTF-8 * checking package namespace information ... OK * checking package dependencies ... OK * checking if this is a source package ... OK * checking if there is a namespace ... OK * checking for executable files ... OK * checking for hidden files and directories ... OK * checking for portable file names ... OK * checking for sufficient/correct file permissions ... OK * checking whether package 'mlr3learners' can be installed ... OK * used C compiler: 'gcc (Spack GCC) 12.2.0' * checking installed package size ... OK * checking package directory ... OK * checking DESCRIPTION meta-information ... OK * checking top-level files ... OK * checking for left-over files ... OK * checking index information ... OK * checking package subdirectories ... OK * checking code files for non-ASCII characters ... OK * checking R files for syntax errors ... OK * checking whether the package can be loaded ... OK * checking whether the package can be loaded with stated dependencies ... OK * checking whether the package can be unloaded cleanly ... OK * checking whether the namespace can be loaded with stated dependencies ... OK * checking whether the namespace can be unloaded cleanly ... OK * checking whether startup messages can be suppressed ... OK * checking dependencies in R code ... OK * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... OK * checking Rd files ... OK * checking Rd metadata ... OK * checking Rd cross-references ... OK * checking for missing documentation entries ... OK * checking for code/documentation mismatches ... OK * checking Rd \usage sections ... OK * checking Rd contents ... OK * checking for unstated dependencies in examples ... OK * checking line endings in C/C++/Fortran sources/headers ... OK * checking compiled code ... OK * checking examples ... OK * checking for unstated dependencies in 'tests' ... OK * checking tests ... Running 'testthat.R' ERROR Running the tests in 'tests/testthat.R' failed. Complete output: > if (requireNamespace("testthat", quietly = TRUE)) { + library("testthat") + library("mlr3learners") + test_check("mlr3learners") + } Loading required package: mlr3 [ FAIL 3 | WARN 346 | SKIP 4 | PASS 632 ] == Skipped tests (4) =========================================================== * On CRAN (4): 'test_classif_nnet.R:2:1', 'test_classif_xgboost.R:2:1', 'test_regr_nnet.R:2:1', 'test_regr_xgboost.R:2:1' == Failed tests ================================================================ -- Failure ('test_classif_ranger.R:8:3'): autotest ----------------------------- `result` is not TRUE `actual` is a list `expected` is a logical vector (TRUE) [train()] learner 'classif.ranger:response' on task 'missings_binary' failed: Error : Missing data in columns: character, factor, integer, logical, numeric, ordered. -- Error ('test_classif_ranger.R:105:3'): oob_error available without stored model -- Error: Missing data in columns: glucose, insulin, mass, pressure, triceps. Backtrace: x 1. \-mlr3::resample(task, learner, rsmp("holdout"), store_models = FALSE) at test_classif_ranger.R:105:3 2. \-mlr3:::future_map(...) 3. \-future.apply::future_mapply(...) 4. \-future.apply:::future_xapply(...) 5. +-future::value(fs) 6. \-future:::value.list(fs) 7. +-future::resolve(...) 8. \-future:::resolve.list(...) 9. \-future (local) signalConditionsASAP(obj, resignal = FALSE, pos = ii) 10. \-future:::signalConditions(...) -- Failure ('test_regr_ranger.R:7:3'): autotest -------------------------------- `result` is not TRUE `actual` is a list `expected` is a logical vector (TRUE) [train()] learner 'regr.ranger:response' on task 'missings' failed: Error : Missing data in columns: character, factor, integer, logical, numeric, ordered. [ FAIL 3 | WARN 346 | SKIP 4 | PASS 632 ] Error: Test failures Execution halted * checking PDF version of manual ... OK * DONE Status: 1 ERROR See '/tmp/th798/25890912/R-release/861/mlr3learners.Rcheck/00check.log' for details. [1] "2025-12-14 01:19:33 MST" [1] "2025-12-14 01:19:33 MST" Installing package into '/tmp/th798/25890912/R-release/861/library' (as 'lib' is unspecified) * installing *source* package 'data.table' ... ** this is package 'data.table' version '1.17.99' ** using staged installation zlib 1.2.13 is available ok * checking if R installation supports OpenMP without any extra hints... yes ** libs using C compiler: 'gcc (Spack GCC) 12.2.0' /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c assign.c -o assign.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c between.c -o between.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c bmerge.c -o bmerge.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c chmatch.c -o chmatch.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c cj.c -o cj.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c coalesce.c -o coalesce.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c dogroups.c -o dogroups.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fastmean.c -o fastmean.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fcast.c -o fcast.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fifelse.c -o fifelse.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fmelt.c -o fmelt.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c forder.c -o forder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frank.c -o frank.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fread.c -o fread.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c freadR.c -o freadR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c froll.c -o froll.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frollR.c -o frollR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frolladaptive.c -o frolladaptive.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c frollapply.c -o frollapply.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fsort.c -o fsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwrite.c -o fwrite.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c fwriteR.c -o fwriteR.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c gsumm.c -o gsumm.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c idatetime.c -o idatetime.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c ijoin.c -o ijoin.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c init.c -o init.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c inrange.c -o inrange.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c mergelist.c -o mergelist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nafill.c -o nafill.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c negate.c -o negate.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c nqrecreateindices.c -o nqrecreateindices.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c openmp-utils.c -o openmp-utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c programming.c -o programming.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c quickselect.c -o quickselect.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c rbindlist.c -o rbindlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c reorder.c -o reorder.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c shellsort.c -o shellsort.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c shift.c -o shift.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c snprintf.c -o snprintf.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c subset.c -o subset.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c transpose.c -o transpose.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c types.c -o types.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c uniqlist.c -o uniqlist.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c utils.c -o utils.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c vecseq.c -o vecseq.o /packages/gcc/12.2.0-nnbserq/bin/gcc -I"/home/th798/R/R-release/include" -DNDEBUG -I/home/th798/.conda/envs/emacs1/include -I/home/th798/include -fopenmp -I/home/th798/.conda/envs/emacs1/include -fpic -I/packages/gcc/12.2.0-nnbserq/include -I/packages/zstd/1.5.2-cs5ansz/include -I/packages/zlib/1.2.13-po6bkge/include -I/packages/mpc/1.2.1-nnfoiwh/include -I/packages/mpfr/4.1.0-yfsqqka/include -I/packages/gmp/6.2.1-7ydtie6/include -c wrappers.c -o wrappers.o /packages/gcc/12.2.0-nnbserq/bin/gcc -shared -L/home/th798/.conda/envs/emacs1/lib -Wl,-rpath=/home/th798/.conda/envs/emacs1/lib -L/home/th798/lib -Wl,-rpath=/home/th798/lib -L/home/th798/lib64 -Wl,-rpath=/home/th798/lib64 -o data.table.so assign.o between.o bmerge.o chmatch.o cj.o coalesce.o dogroups.o fastmean.o fcast.o fifelse.o fmelt.o forder.o frank.o fread.o freadR.o froll.o frollR.o frolladaptive.o frollapply.o fsort.o fwrite.o fwriteR.o gsumm.o idatetime.o ijoin.o init.o inrange.o mergelist.o nafill.o negate.o nqrecreateindices.o openmp-utils.o programming.o quickselect.o rbindlist.o reorder.o shellsort.o shift.o snprintf.o subset.o transpose.o types.o uniqlist.o utils.o vecseq.o wrappers.o -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz PKG_CFLAGS = -fopenmp -I/home/th798/.conda/envs/emacs1/include PKG_LIBS = -fopenmp -L/home/th798/.conda/envs/emacs1/lib -lz if [ "data.table.so" != "data_table.so" ]; then mv data.table.so data_table.so; fi if [ "" != "Windows_NT" ] && [ `uname -s` = 'Darwin' ]; then install_name_tool -id data_table.so data_table.so; fi installing to /tmp/th798/25890912/R-release/861/library/00LOCK-data.table/00new/data.table/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (data.table) [1] "2025-12-14 01:19:55 MST" * using log directory '/tmp/th798/25890912/R-release/861/mlr3learners.Rcheck' * using R version 4.5.2 (2025-10-31) * using platform: x86_64-pc-linux-gnu * R was compiled by gcc (Spack GCC) 12.2.0 GNU Fortran (Spack GCC) 12.2.0 * running under: Red Hat Enterprise Linux 8.10 (Ootpa) * using session charset: ASCII * checking for file 'mlr3learners/DESCRIPTION' ... OK * this is package 'mlr3learners' version '0.14.0' * package encoding: UTF-8 * checking package namespace information ... OK * checking package dependencies ... OK * checking if this is a source package ... OK * checking if there is a namespace ... OK * checking for executable files ... OK * checking for hidden files and directories ... OK * checking for portable file names ... OK * checking for sufficient/correct file permissions ... OK * checking whether package 'mlr3learners' can be installed ... OK * used C compiler: 'gcc (Spack GCC) 12.2.0' * checking installed package size ... OK * checking package directory ... OK * checking DESCRIPTION meta-information ... OK * checking top-level files ... OK * checking for left-over files ... OK * checking index information ... OK * checking package subdirectories ... OK * checking code files for non-ASCII characters ... OK * checking R files for syntax errors ... OK * checking whether the package can be loaded ... OK * checking whether the package can be loaded with stated dependencies ... OK * checking whether the package can be unloaded cleanly ... OK * checking whether the namespace can be loaded with stated dependencies ... OK * checking whether the namespace can be unloaded cleanly ... OK * checking whether startup messages can be suppressed ... OK * checking dependencies in R code ... OK * checking S3 generic/method consistency ... OK * checking replacement functions ... OK * checking foreign function calls ... OK * checking R code for possible problems ... OK * checking Rd files ... OK * checking Rd metadata ... OK * checking Rd cross-references ... OK * checking for missing documentation entries ... OK * checking for code/documentation mismatches ... OK * checking Rd \usage sections ... OK * checking Rd contents ... OK * checking for unstated dependencies in examples ... OK * checking line endings in C/C++/Fortran sources/headers ... OK * checking compiled code ... OK * checking examples ... OK * checking for unstated dependencies in 'tests' ... OK * checking tests ... Running 'testthat.R' ERROR Running the tests in 'tests/testthat.R' failed. Complete output: > if (requireNamespace("testthat", quietly = TRUE)) { + library("testthat") + library("mlr3learners") + test_check("mlr3learners") + } Loading required package: mlr3 [ FAIL 3 | WARN 346 | SKIP 4 | PASS 632 ] == Skipped tests (4) =========================================================== * On CRAN (4): 'test_classif_nnet.R:2:1', 'test_classif_xgboost.R:2:1', 'test_regr_nnet.R:2:1', 'test_regr_xgboost.R:2:1' == Failed tests ================================================================ -- Failure ('test_classif_ranger.R:8:3'): autotest ----------------------------- `result` is not TRUE `actual` is a list `expected` is a logical vector (TRUE) [train()] learner 'classif.ranger:response' on task 'missings_binary' failed: Error : Missing data in columns: character, factor, integer, logical, numeric, ordered. -- Error ('test_classif_ranger.R:105:3'): oob_error available without stored model -- Error: Missing data in columns: glucose, insulin, mass, pressure, triceps. Backtrace: x 1. \-mlr3::resample(task, learner, rsmp("holdout"), store_models = FALSE) at test_classif_ranger.R:105:3 2. \-mlr3:::future_map(...) 3. \-future.apply::future_mapply(...) 4. \-future.apply:::future_xapply(...) 5. +-future::value(fs) 6. \-future:::value.list(fs) 7. +-future::resolve(...) 8. \-future:::resolve.list(...) 9. \-future (local) signalConditionsASAP(obj, resignal = FALSE, pos = ii) 10. \-future:::signalConditions(...) -- Failure ('test_regr_ranger.R:7:3'): autotest -------------------------------- `result` is not TRUE `actual` is a list `expected` is a logical vector (TRUE) [train()] learner 'regr.ranger:response' on task 'missings' failed: Error : Missing data in columns: character, factor, integer, logical, numeric, ordered. [ FAIL 3 | WARN 346 | SKIP 4 | PASS 632 ] Error: Test failures Execution halted * checking PDF version of manual ... OK * DONE Status: 1 ERROR See '/tmp/th798/25890912/R-release/861/mlr3learners.Rcheck/00check.log' for details. [1] "2025-12-14 01:23:11 MST" > system(paste(c("diff -u", Rcheck.list), collapse=" ")) > library(data.table, lib.loc=R.home("library")) > (sig.diff.dt <- myDiff(Rvers)) Key: Empty data.table (0 rows and 3 cols): checking,master,release > > ## If there are significant differences, use git bisect to find when > ## they started. > if(nrow(sig.diff.dt)){ + dt.git <- file.path(task.dir, "data.table.git") + unlink(dt.git, recursive=TRUE, force=TRUE) + system(paste("cd ~/R/data.table && git fetch --tags")) + system(paste("git clone ~/R/data.table", dt.git)) + release.tag <- gsub(".tar.gz|.*_", "", cargs[["release"]]) + rev.parse.cmd <- paste( + "cd", dt.git, "&& git rev-parse master") + master.sha <- system(rev.parse.cmd, intern=TRUE) + merge.base.cmd <- paste( + "cd", dt.git, "&& git merge-base master", release.tag) + merge.base.sha <- system(merge.base.cmd, intern=TRUE) + old.sha <- merge.base.sha + run_R <- file.path(proj.dir, "install_dt_then_check_dep.R") + sig.diff.dt[, first.bad.commit := NA_character_] + sig.diff.dt[, comments := NA_character_] + for(diff.i in 1:nrow(sig.diff.dt)){ + sig.diff.row <- sig.diff.dt[diff.i] + bisect.cmd <- paste( + "cd", dt.git, "&&", + "git bisect start &&", + "git bisect old", old.sha, "&&", + "git bisect new master &&", + "git bisect run", + R.home('bin/Rscript'), + run_R, + shQuote(sig.diff.row$checking), + sig.diff.row$release, + rev.dep.release.tar.gz, + release.tag) + print(bisect.cmd) + bisect.out <- system(bisect.cmd, intern=TRUE) + cat(bisect.out,sep="\n") + if(is.null(attr(bisect.out,"status"))){ + first.bad.sha <- nc::capture_all_str( + bisect.out, + sha="[0-9a-f]+", + " is the first new commit")$sha + parent.cmd <- paste( + "cd ~/R/data.table && git log --pretty=%P -n 1", + first.bad.sha) + parent.sha <- system(parent.cmd, intern=TRUE) + sig.diff.dt[diff.i, first.bad.commit := first.bad.sha] + parent.msg <- paste0("parent=", parent.sha) + this.comment <- if(parent.sha==old.sha){ + paste(parent.msg, "same as git bisect old") + }else if(first.bad.sha==master.sha){ + paste("same as git bisect new=master,", parent.msg) + }else{ + parent.msg + } + sig.diff.dt[diff.i, comments := this.comment] + } + } + ## add CRAN column. + sig.diff.dt[, CRAN := { + flavor <- get_flavor(Rvers) + details <- data.table(flavor=unique(flavor))[, { + base <- "https://www.r-project.org/nosvn/R.check/" + u <- paste0(base, flavor, "/", rev.dep, "-00check.txt") + check.txt <- tempfile() + tryCatch({ + download.file(u, check.txt, quiet=TRUE) + }, error=function(e){ + NULL + }) + check.lines <- if(file.exists(check.txt)){ + readLines(check.txt,encoding="UTF-8") + }else{ + "" + } + repl.lines <- gsub("[\u2018\u2019]", "'", check.lines) + ##gsub("[‘’]", "'", check.lines) does not work with LC_ALL=C. + myStatus(line.vec=repl.lines) + }, by=flavor] + select.dt <- data.table(flavor, checking) + details[select.dt, msg, on=.(flavor, checking)] + }] + dir.create(file.path(job.dir, Rvers)) + diffs.csv <- file.path(job.dir, Rvers, "significant_differences.csv") + data.table::fwrite(sig.diff.dt, diffs.csv) + print(sig.diff.dt) + } >