\HeaderA{plrCMA-methods}{L2 penalized logistic regression}{plrCMA.Rdash.methods}
\aliasA{plrCMA,data.frame,missing,formula-method}{plrCMA-methods}{plrCMA,data.frame,missing,formula.Rdash.method}
\aliasA{plrCMA,ExpressionSet,character,missing-method}{plrCMA-methods}{plrCMA,ExpressionSet,character,missing.Rdash.method}
\aliasA{plrCMA,matrix,factor,missing-method}{plrCMA-methods}{plrCMA,matrix,factor,missing.Rdash.method}
\aliasA{plrCMA,matrix,numeric,missing-method}{plrCMA-methods}{plrCMA,matrix,numeric,missing.Rdash.method}
\keyword{multivariate}{plrCMA-methods}
\begin{Description}\relax
High dimensional logistic regression combined with an L2-type (Ridge-)penalty.
Multiclass case is also possible.
\end{Description}
\begin{Section}{Methods}
\describe{

\item[X = "matrix", y = "numeric", f = "missing"] signature 1

\item[X = "matrix", y = "factor", f = "missing"] signature 2

\item[X = "data.frame", y = "missing", f = "formula"] signature 3

\item[X = "ExpressionSet", y = "character", f = "missing"] signature 4
}
For further argument and output information, consult
\code{\LinkA{plrCMA}{plrCMA}}.
\end{Section}

