\name{nniRes}
\title{Class for representing a nearest neighbour imputation result}
\description{This is a class representation of nearest neighbour imputation
(nni) result}
\details{\bold{Creating Objects}\cr
\code{new("nniRes", completeObs=[the estimated complete
observations], k=[cluster size], nObs=[amount of observations],
nVar=[amount of variables], centered=[was the data centered befor
running LLSimpute], center=[original means], method=[method used
to perform clustering], missing=[amount of NAs])}

\bold{Slots}\cr
\describe{
\item{completeObs}{"matrix", the estimated complete observations}
\item{nObs}{"numeric", amount of observations}
\item{nVar}{"numeric", amount of variables}
\item{correlation}{"character", the correlation method used
(pearson, kendall or spearman)}
\item{centered}{"logical", data was centered or not}
\item{center}{"numeric", the original variable centers}
\item{k}{"numeric", cluster size}
\item{method}{"character", the method used to perform the clustering}
\item{missing}{"numeric", the total amount of missing values in
original data}
}

\bold{Methods}\cr
\describe{ \item{print}{Print function} }}
\docType{class}
\keyword{classes}
\alias{nniRes}
\alias{nniRes-class}
\author{Wolfram Stacklies}