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This is the preliminary program for the 2006 Joint Statistical Meetings in Seattle, Washington.

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Activity Number: 481
Type: Contributed
Date/Time: Wednesday, August 9, 2006 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Computing
Abstract - #307563
Title: S-PLUS and R Package for Least Angle Regression
Author(s): Tim C. Hesterberg*+
Companies: Insightful Corporation
Address: 1700 Westlake Ave., Suite 500, Seattle, WA, 98109-3044,
Keywords: regression ; feature selection ; variable selection ; regularization ; L1 penalty
Abstract:

Least Angle Regression is a promising new technique for variable selection applications, offering a nice alternative to stepwise regression. It provides an explanation for the similar behavior of Lasso (L1-penalized regression) and forward stagewise regression, and provides a fast implementation of both. I'll demonstrate a prototype open-source S-PLUS/R package "glars" for generalized least angle regression, extending the "lars" package of Efron and Hastie and "glmpath" of Park and Hastie. We invite outside collaboration, and plan for future versions of the package to provide a framework others can build on.


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Revised April, 2006