<?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>Prediction with Less Overfitting and Robust to Noise</dc:title>
  <dc:title>R package PLORN version 0.1.1</dc:title>
  <dc:description>A method for the quantitative prediction with much predictors. 
    This package provides functions to construct the quantitative prediction 
    model with less overfitting and robust to noise. </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0)</dc:relation>
  <dc:relation>Imports: ggplot2, kernlab</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown, testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>Takahiko Koizumi &lt;takahiko.koizumi@riken.jp&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Takahiko Koizumi, Kenta Suzuki, Yasunori Ichihashi</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=PLORN/LICENSE)</dc:rights>
  <dc:date>2022-03-21</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=PLORN</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.PLORN</dc:identifier>
  <dc:language>en-US</dc:language>
</oai_dc:dc>
