<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Least Angle Regression, Lasso and Forward Stagewise</dc:title>
  <dc:title>R package lars version 1.3</dc:title>
  <dc:subject>CRAN Task View: MachineLearning (https://CRAN.R-project.org/view=MachineLearning)</dc:subject>
  <dc:description>Efficient procedures for fitting an entire lasso
		sequence with the cost of a single least squares
		fit. Least angle regression and infinitesimal forward
		stagewise regression are related to the lasso, as
		described in the paper below.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.10)</dc:relation>
  <dc:creator>Trevor Hastie &lt;hastie@stanford.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Trevor Hastie &lt;hastie@stanford.edu&gt; and Brad Efron 
		&lt;brad@stat.stanford.edu&gt;</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2022-04-13</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=lars</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.lars</dc:identifier>
</oai_dc:dc>
