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 <rdf:Description>
  <dc:title>Data sets, functions and examples from the book: &quot;The Elements
of Statistical Learning, Data Mining, Inference, and
Prediction&quot; by Trevor Hastie, Robert Tibshirani and Jerome
Friedman</dc:title>
  <dc:subject>CRAN Task View: MachineLearning (http://CRAN.R-project.org/view=MachineLearning)</dc:subject>
  <dc:description>Useful when reading the book above mentioned, in the
documentation referred to as `the book&apos;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.10.0), stats</dc:relation>
  <dc:relation>Suggests: gam, splines, MASS, class, leaps, mda, lasso2, lars, boot,
prim, earth</dc:relation>
  <dc:creator>Kjetil Halvorsen &lt;kjetil1001@gmail.com&gt;</dc:creator>
  <dc:contributor>Material from the book&apos;s webpage, R port and packaging by
Kjetil Halvorsen</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2012-04-10</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>http://CRAN.R-project.org/package=ElemStatLearn</dc:identifier>
 </rdf:Description>
</rdf:RDF>

