Re: [R] predict for a cv.glmnet returns an error

Hi: Here's what I got when I ran your code: library('glmnet') > x=matrix(rnorm(100*20),100,20) > y=rnorm(100) > cv.fit=cv.glmnet(x,y) > predict(cv.fit,newx=x[1:5,]) 1 [1,] 0.1213114 [2,] 0.1213114 [3,] 0.1213114 [4,] 0.1213114 [5,] 0.1213114 > coef(cv.fit) 21 x 1 sparse Matrix of cla

[R] predict for a cv.glmnet returns an error

Hi there, I am trying to use predict() with an object returned by cv.glmnet(), and get the following error: no applicable method for 'predict' applied to an object of class "cv.glmnet" What's wrong? my code: x=matrix(rnorm(100*20),100,20) y=rnorm(100) cv.fit=cv.glmnet(x,y) predict(cv.fit,newx=