\HeaderA{learningsets-class}{"learningsets"}{learningsets.Rdash.class}
\aliasA{learningsets}{learningsets-class}{learningsets}
\aliasA{show,learningsets-method}{learningsets-class}{show,learningsets.Rdash.method}
\keyword{multivariate}{learningsets-class}
\begin{Description}\relax
An object returned from \code{\LinkA{GenerateLearningsets}{GenerateLearningsets}}
which is usually passed as arguments to \code{\LinkA{GeneSelection}{GeneSelection}},
\code{\LinkA{tune}{tune}} and \code{\LinkA{classification}{classification}}.
\end{Description}
\begin{Section}{Slots}
\describe{
\item[\code{learnmatrix}:] A matrix of dimension \code{niter x
        ntrain}. Each row contains the indices of those observations
representing the learningset for one iteration. If \code{method =
        CV}, zeros appear due to rounding issues.
\item[\code{method}:] The method used to generate the \code{learnmatrix},
s.\code{\LinkA{GenerateLearningsets}{GenerateLearningsets}}
\item[\code{ntrain}:] Number of observations in one learning set.If
\code{method = CV}, this number is not attained for all
iterations, due to rounding issues.
\item[\code{iter}:] Number of iterations (different learningsets)
that are stored in \code{learnmatrix}.
}
\end{Section}
\begin{Section}{Methods}
\Itemize{
\item[show] Use \code{show(learningsets-object)} for brief information.
}
\end{Section}
\begin{Author}\relax
Martin Slawski \email{martin.slawski@campus.lmu.de}

Anne-Laure Boulesteix \url{http://www.slcmsr.net/boulesteix}
\end{Author}
\begin{SeeAlso}\relax
\code{\LinkA{GenerateLearningsets}{GenerateLearningsets}}, \code{\LinkA{GeneSelection}{GeneSelection}},
\code{\LinkA{tune}{tune}}, \code{\LinkA{classification}{classification}}
\end{SeeAlso}

