<?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>(Robust) Canonical Correlation Analysis via Projection Pursuit</dc:title>
  <dc:title>R package ccaPP version 0.3.6</dc:title>
  <dc:description>Canonical correlation analysis and maximum correlation via
    projection pursuit, as well as fast implementations of correlation
    estimators, with a focus on robust and nonparametric methods.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.2.0), parallel, pcaPP (&gt;= 1.8-1), robustbase</dc:relation>
  <dc:relation>Imports: Rcpp (&gt;= 0.11.0)</dc:relation>
  <dc:relation>LinkingTo: Rcpp (&gt;= 0.11.0), RcppArmadillo (&gt;= 0.7.200.1.0)</dc:relation>
  <dc:relation>Suggests: knitr, mvtnorm</dc:relation>
  <dc:creator>Andreas Alfons &lt;alfons@ese.eur.nl&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Andreas Alfons [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0002-2513-3788&gt;),
  David Simcha [ctb] (O(n log(n)) implementation of Kendall correlation)</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2026-07-09</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=ccaPP</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.ccaPP</dc:identifier>
</oai_dc:dc>
