<?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>A Procedure for Multicollinearity Testing using Bootstrap</dc:title>
  <dc:title>R package MTest version 1.0.4</dc:title>
  <dc:description>Functions for detecting multicollinearity. This test gives statistical support to two of the most famous methods for detecting multicollinearity in applied work: Klein’s rule and Variance Inflation Factor (VIF). See the URL for the papers associated with this package, as for instance, Morales-Oñate and Morales-Oñate (2015) &lt;doi:10.33333/rp.vol51n2.05&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.1.0)</dc:relation>
  <dc:relation>Imports: ggplot2,plotly</dc:relation>
  <dc:creator>Víctor Morales-Oñate &lt;vmorales.ppb@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Víctor Morales-Oñate [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0003-1922-6571&gt;),
  Bolívar Morales-Oñate [aut] (ORCID:
    &lt;https://orcid.org/0000-0003-4980-8759&gt;)</dc:contributor>
  <dc:rights>GPL (&gt;= 3)</dc:rights>
  <dc:date>2025-09-11</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=MTest</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.MTest</dc:identifier>
</oai_dc:dc>
