R packages for "The Elements of Statistical Learning"

Lasso and elastic-net regularized generalized linear models.

Flexible and mixture discriminant analysis .

Lasso2 (Turlach).

LARS (Efron, Hastie, Johnstone, Tibshirani).
Efficient version of lasso (entire lasso sequence at cost of single least squares fit).

gradient boosting.

MART (gradient boosting).


Principal curves.

Bootstrap and cross-validation .

Last modified: Mon Feb 8 2009