For a high dimensional dataset having n<p (n=200, p=500), is it possible to fit a linear regression on that directly?
HighDim <- read.csv(file = "https://xiaoruizhu.github.io/Data-Mining-R/lecture/data/HighDim.csv")
Can we do subset variable selection? How about LASSO variable selection?