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library(ISLR)
Hitters =na.omit(Hitters)
dim(Hitters)

[1] 263  20

sum(is.na(Hitters))

[1] 0

x=model.matrix(Salary~.,Hitters )[,-1]
y=Hitters$Salary

library(glmnet)
grid=10^seq(10,-2, length =100)
ridge.mod=glmnet (x,y,alpha=0, lambda=grid)

dim(coef(ridge.mod))

[1]  20 100

set.seed(1)
train=sample (1: nrow(x), nrow(x)/2)
test=(-train)
y.test=y[test]

dim(coef(ridge.mod))

[1]  20 100

library(glmnet)
grid=10^seq(10,-2, length =100)
ridge.mod=glmnet (x,y,alpha=0, lambda=grid)