There were 40 warnings (use warnings() to see them)
> warnings()
Warning messages:
1: Option grouped=FALSE enforced in cv.glmnet, since < 3 observations per fold
2: In lognet(x, is.sparse, y, weights, offset, alpha, nobs,  ... :
  one multinomial or binomial class has fewer than 8  observations; dangerous ground
3: In lognet(x, is.sparse, y, weights, offset, alpha, nobs,  ... :
  one multinomial or binomial class has fewer than 8  observations; dangerous ground
4: In lognet(x, is.sparse, y, weights, offset, alpha, nobs,  ... :
  one multinomial or binomial class has fewer than 8  observations; dangerous ground
5: In lognet(x, is.sparse, y, weights, offset, alpha, nobs,  ... :
  one multinomial or binomial class has fewer than 8  observations; dangerous ground
6: In lognet(x, is.sparse, y, weights, offset, alpha, nobs,  ... :
  one multinomial or binomial class has fewer than 8  observations; dangerous ground
7: In lognet(x, is.sparse, y, weights, offset, alpha, nobs,  ... :
  one multinomial or binomial class has fewer than 8  observations; dangerous ground
8: In lognet(x, is.sparse, y, weights, offset, alpha, nobs,  ... :
  one multinomial or binomial class has fewer than 8  observations; dangerous ground
9: In lognet(x, is.sparse, y, weights, offset, alpha, nobs,  ... :
  one multinomial or binomial class has fewer than 8  observations; dangerous ground
10: In lognet(x, is.sparse, y, weights, offset, alpha, nobs,  ... :
  one multinomial or binomial class has fewer than 8  observations; dangerous ground
11: In lognet(x, is.sparse, y, weights, offset, alpha, nobs,  ... :
  one multinomial or binomial class has fewer than 8  observations; dangerous ground
12: In lognet(x, is.sparse, y, weights, offset, alpha, nobs,  ... :
  one multinomial or binomial class has fewer than 8  observations; dangerous ground
13: In lognet(x, is.sparse, y, weights, offset, alpha, nobs,  ... :
  one multinomial or binomial class has fewer than 8  observations; dangerous ground
14: In lognet(x, is.sparse, y, weights, offset, alpha, nobs,  ... :
  one multinomial or binomial class has fewer than 8  observations; dangerous ground
15: In lognet(x, is.sparse, y, weights, offset, alpha, nobs,  ... :
  one multinomial or binomial class has fewer than 8  observations; dangerous ground
16: In lognet(x, is.sparse, y, weights, offset, alpha, nobs,  ... :
  one multinomial or binomial class has fewer than 8  observations; dangerous ground
17: Option grouped=FALSE enforced in cv.glmnet, since < 3 observations per fold
18: Option grouped=FALSE enforced in cv.glmnet, since < 3 observations per fold
19: Option grouped=FALSE enforced in cv.glmnet, since < 3 observations per fold
20: Option grouped=FALSE enforced in cv.glmnet, since < 3 observations per fold
21: Option grouped=FALSE enforced in cv.glmnet, since < 3 observations per fold
22: In lognet(x, is.sparse, y, weights, offset, alpha, nobs,  ... :
  one multinomial or binomial class has fewer than 8  observations; dangerous ground
23: In lognet(x, is.sparse, y, weights, offset, alpha, nobs,  ... :
  one multinomial or binomial class has fewer than 8  observations; dangerous ground
24: In lognet(x, is.sparse, y, weights, offset, alpha, nobs,  ... :
  one multinomial or binomial class has fewer than 8  observations; dangerous ground
25: In lognet(x, is.sparse, y, weights, offset, alpha, nobs,  ... :
  one multinomial or binomial class has fewer than 8  observations; dangerous ground
26: In lognet(x, is.sparse, y, weights, offset, alpha, nobs,  ... :
  one multinomial or binomial class has fewer than 8  observations; dangerous ground
27: In lognet(x, is.sparse, y, weights, offset, alpha, nobs,  ... :
  one multinomial or binomial class has fewer than 8  observations; dangerous ground
28: In lognet(x, is.sparse, y, weights, offset, alpha, nobs,  ... :
  one multinomial or binomial class has fewer than 8  observations; dangerous ground
29: In lognet(x, is.sparse, y, weights, offset, alpha, nobs,  ... :
  one multinomial or binomial class has fewer than 8  observations; dangerous ground
30: In lognet(x, is.sparse, y, weights, offset, alpha, nobs,  ... :
  one multinomial or binomial class has fewer than 8  observations; dangerous ground
31: In lognet(x, is.sparse, y, weights, offset, alpha, nobs,  ... :
  one multinomial or binomial class has fewer than 8  observations; dangerous ground
32: In lognet(x, is.sparse, y, weights, offset, alpha, nobs,  ... :
  one multinomial or binomial class has fewer than 8  observations; dangerous ground
33: In lognet(x, is.sparse, y, weights, offset, alpha, nobs,  ... :
  one multinomial or binomial class has fewer than 8  observations; dangerous ground
34: In lognet(x, is.sparse, y, weights, offset, alpha, nobs,  ... :
  one multinomial or binomial class has fewer than 8  observations; dangerous ground
35: In lognet(x, is.sparse, y, weights, offset, alpha, nobs,  ... :
  one multinomial or binomial class has fewer than 8  observations; dangerous ground
36: In lognet(x, is.sparse, y, weights, offset, alpha, nobs,  ... :
  one multinomial or binomial class has fewer than 8  observations; dangerous ground
37: In lognet(x, is.sparse, y, weights, offset, alpha, nobs,  ... :
  one multinomial or binomial class has fewer than 8  observations; dangerous ground
38: Option grouped=FALSE enforced in cv.glmnet, since < 3 observations per fold
39: Option grouped=FALSE enforced in cv.glmnet, since < 3 observations per fold
40: Option grouped=FALSE enforced in cv.glmnet, since < 3 observations per fold
> 
