% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/VarSelection-Class.R
\docType{class}
\name{VarSelection-class}
\alias{VarSelection-class}
\title{class VarSelection}
\description{
Class \code{VarSelection} S4 class (linkHD: integrating multiple heterogeneous datasets)
VarSelection is a class to perform variable selection from a DistStatis object.
}
\section{Features}{

\enumerate{
  \item class to perform variable selection using Linear Regression Biplot onto the Compromise-Subespace
  \item This method allow variable selection and classification
  }
}

\section{Fields}{

\itemize{
\item  Variables return all the selected variables (and the frecuency of selection).
\item  Coordinates represent the coordenates (Betas coeeficients on LM) of the selected variables.
\item  VarTable data.frame indicating which table selected variables come from.
\item  values data.frame contains the R2 or pvalue (fdr) of selected variables (it depends of the Crit used).
}
}

\section{Accesors}{

\itemize{
\item  Variables return all the selected variables (and the frecuency of selection).
\item  Coordinates represent the coordenates (Betas coeeficients on LM) of the selected variables.
\item  VarTable dataframe indicating the table that each selected variable comes from.
\item  values data.frame which contains the R2 or pvalue (fdr) of selected variables (it depends of the Crit used).
}
}

\section{VarSelection-class-general-functions}{

\describe{
\item{print}{Generated basic output for VarSelection class}
}

 @author Laura M Zingaretti
}

\examples{
{
showClass('VarSelection')
}

}
\references{
\enumerate{
\item Gabriel, K. (1971). The biplot graphic display of matrices with application to principal component analysis. Biometrika 58(3), 453--467.
\item Gower, J. & Hand, D. (1996). Biplots, Monographs on statistics and applied probability. 54. London: Chapman and Hall., 277 pp.

}
}