## Not run:
# ## Simulating multivariate Gaussian with blockwise correlation
# ## and piecewise constant vector of parameters
# beta <- rep(c(0,1,0,-1,0), c(25,10,25,10,25))
# cor <- 0.75
# Soo <- toeplitz(cor^(0:(25-1))) ## Toeplitz correlation for irrelevant variables
# Sww <- matrix(cor,10,10) ## bloc correlation between active variables
# Sigma <- bdiag(Soo,Sww,Soo,Sww,Soo)
# diag(Sigma) <- 1
# n <- 50
# x <- as.matrix(matrix(rnorm(95*n),n,95) %*% chol(Sigma))
# y <- 10 + x %*% beta + rnorm(n,0,10)
#
# ## Plot the Lasso path
# plot(elastic.net(x,y, lambda2=0), main="Lasso solution path")
# ## Plot the Elastic-net path
# plot(enet, main = "Elastic-net solution path")
# ## Plot the Elastic-net path (fraction on X-axis, unstandardized coefficient)
# plot(elastic.net(x,y, lambda2=10), standardize=FALSE, xvar="fraction")
# ## Plot the Bounded regression path (fraction on X-axis)
# plot(bounded.reg(x,y, lambda2=10), xvar="fraction")
# ## End(Not run)
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