A method for fitting the entire regularization path
of the principal components lasso for linear and
logistic regression models. The algorithm uses cyclic coordinate descent
in a path-wise fashion. See URL below for more information on the algorithm.
See Tay, K., Friedman, J. ,Tibshirani, R., (2014) 'Principal component-guided sparse regression'