<?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>Neural Network Enhanced STATIS Methodology for Three-Way Data
Analysis</dc:title>
  <dc:title>R package NeuralSTATIS version 0.1.0</dc:title>
  <dc:description>Combines Autoencoders with the STATIS (Structuring Three-way Arrays in Statistics) methodology for dimensional reduction and visualization of multi-way data (tables x individuals x variables). Methods are based on L'Hermier des Plantes (1976) and Carrera Buri &amp; Galindo-Villardón (2026) &lt;https://www.mdpi.com/1999-4893/19/8/637/pdf&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: dplyr, ggplot2, ggrepel, grid, gridExtra, reticulate, stats</dc:relation>
  <dc:relation>Suggests: gganimate, gifski, testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>Felix Miguel Carrera Buri &lt;felix.carrera@xperty.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Felix Miguel Carrera Buri [aut, cre]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2026-09-12</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=NeuralSTATIS</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.NeuralSTATIS</dc:identifier>
</oai_dc:dc>