Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed
Error in lognet(xd, is.sparse, ix, jx, y, weights, offset, alpha, nobs,  : 
  one multinomial or binomial class has 1 or 0 observations; not allowed