set.seed(100)
n=50
p=200
nzfixed = c(1:5)
true.beta<-rep(0,p)
true.beta[nzfixed] = c(1,1,1,1,1)
x=matrix(rnorm(n*p),p,n)
y = t(x) %*% true.beta
rownames(x)<-1:nrow(x)
colnames(x)<-1:ncol(x)
crossval<-cv.l1.reg(x,y,10,(0:20)*2)
print(crossval)
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