<?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>High-Dimensional Methods via Generalised Singular Decomposition</dc:title>
  <dc:title>R package wideRhino version 1.2.0</dc:title>
  <dc:description>Construct a Canonical Variate Analysis Biplot via the Generalised Singular Value Decomposition, for cases when the number of samples is less than the number of variables. For more information on these biplots, see Ganey, R., &amp; Gardner-Lubbe, S. (2026) &lt;doi:10.1007/s10260-025-00831-y&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.1.0)</dc:relation>
  <dc:relation>Imports: Matrix, MASS, ggplot2, dplyr</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown, testthat</dc:relation>
  <dc:creator>Raeesa Ganey &lt;Raeesa.ganey@wits.ac.za&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Raeesa Ganey [aut, cre] (ORCID:
    &lt;https://orcid.org/0009-0008-6973-0999&gt;)</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=wideRhino/LICENSE)</dc:rights>
  <dc:date>2026-07-02</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=wideRhino</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.wideRhino</dc:identifier>
</oai_dc:dc>