<?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>Random Subspace Method (RSM) for Linear Regression</dc:title>
  <dc:title>R package regRSM version 0.5</dc:title>
  <dc:description>Performs Random Subspace Method (RSM) for high-dimensional linear regression to obtain variable importance measures. The final model is chosen based on validation set or Generalized Information Criterion.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.0.0)</dc:relation>
  <dc:relation>Imports: Rmpi, doParallel, parallel, foreach</dc:relation>
  <dc:creator>Pawel Teisseyre &lt;teisseyrep@ipipan.waw.pl&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Pawel Teisseyre, Robert A. Klopotek</dc:contributor>
  <dc:rights>LGPL-2</dc:rights>
  <dc:rights>LGPL-3</dc:rights>
  <dc:rights>GPL-2</dc:rights>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2015-09-11</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=regRSM</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.regRSM</dc:identifier>
</oai_dc:dc>
