<?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>Perform Tensor-on-Tensor Regression</dc:title>
  <dc:title>R package MultiwayRegression version 1.2</dc:title>
  <dc:description>Functions to predict one multi-way array (i.e., a tensor) from another multi-way array, using a low-rank CANDECOMP/PARAFAC (CP) factorization and a ridge (L_2) penalty [Lock, EF (2018) &lt;doi:10.1080/10618600.2017.1401544&gt;].  Also includes functions to sample from the Bayesian posterior of a tensor-on-tensor model.      </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R(&gt;= 2.10.0)</dc:relation>
  <dc:relation>Imports: MASS</dc:relation>
  <dc:creator>Eric F. Lock &lt;elock@umn.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Eric F. Lock</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2019-05-31</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=MultiwayRegression</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.MultiwayRegression</dc:identifier>
</oai_dc:dc>