LARS software for R and Splus
Authors: Brad Efron and Trevor Hastie
Maintainer: Trevor Hastie
The software, written in the S language, computes the entire LAR,
Lasso, or (epsilon) forward stagewise
coefficient path in the same order of computations as a single
For slightly more details, see
LARS in R: a fully documented R package called "lars" is available from the
contributed packages section of the R website
These packages include the diabetes data used in the LARS
paper. Follow standard installation procedures.
LARS in Splus:
Splus helpfiles (a shell archive).
data (tab delimited, and as depicted on page 2) used in the paper.
Note that these data are first standardized to have zero mean and unit
L2 norm before they are used in the examples. Here are the standardized data, and the 442 x 64 matrix for the
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