Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step
Error in elnet(xd, is.sparse, y, weights, offset, type.gaussian, alpha,  : 
  y is constant; gaussian glmnet fails at standardization step