Iterative selection of the penalty parameter for ridge regression will be covered in this section. The useful framework of train + validate + test will also be considered for the German credit data problem.
Gasoline <- Gasoline[,-12].
set.seed(1234567). This step is to ensure that the user can validate the results of the program.
data_part_label = c("Train","Validate","Test") indv_label=sample(data_part_label,size=nrow(Gasoline),replace=TRUE ,prob=c(0.6,0.2,0.2))
G_Train <- Gasoline[indv_label=="Train",] ...