<?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 Squares Sparse Principal Components Analysis</dc:title>
  <dc:title>R package spca version 1.1.1</dc:title>
  <dc:description>Implements least-squares sparse principal component analysis (LS-SPCA). The approach follows Merola (2015) &lt;doi:10.1111/anzs.12128&gt; and Merola and Chen (2019) &lt;doi:10.1016/j.jmva.2019.04.001&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.3)</dc:relation>
  <dc:relation>Imports: Rcpp (&gt;= 1.0.14), ggplot2 (&gt;= 4.0.0), RMTstat (&gt;= 0.3.1),
scales, rlang</dc:relation>
  <dc:relation>LinkingTo: Rcpp, RcppEigen</dc:relation>
  <dc:relation>Suggests: testthat (&gt;= 3.0.0), peakRAM (&gt;= 1.0.2), knitr, rmarkdown,
bench, R.rsp</dc:relation>
  <dc:creator>Giovanni Maria Merola &lt;merolagio@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Giovanni Maria Merola [aut, cre]</dc:contributor>
  <dc:rights>AGPL-3</dc:rights>
  <dc:date>2026-07-10</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=spca</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.spca</dc:identifier>
</oai_dc:dc>
