variable, as long as the model has the capacity to use them to overfit. This example shows how to use Permutation Importances as an alternative that can mitigate those limitations.

mychisim<-function(n1=10,sigma1=3,mean1=5,iter=1000,ymax=0.1,...){ # adjust ymax to make graph fit y1=rnorm(n1*iter,mean=mean1,sd=sigma1)# generate iter samples of size n1 ...