\name{StabilityLm-class} \docType{class} \alias{StabilityLm-class} \alias{StabilityLm} \alias{show,StabilityLm-method} \title{"StabilityLm"} \description{An object returned from a call to \link{GetStabilityLm}} \section{Slots}{ \describe{ \item{\code{coefficients}:}{Slopes of the regression with response=ranks from perturbed dataset \code{b}, \code{b=1,...,B}, where \code{B=length(coefficients)}=no. of perturbed datasets and regressor=ranks from original dataset.} \item{\code{R2vec}:}{A numeric vector of the univariate coefficients of determination (length is equal to that of \code{coefficients}).} \item{\code{multivariateR2}:}{The multivariate coefficient of determination.} \item{\code{residuals}:}{A numeric vector of multivariate residuals. If \code{E} is the estimated residual matrix, then the residual for gene \code{i} is \code{sum(E[i,]^2)}. Note that in contrast to \code{residuals.unscaled}, the residual matrix \code{E} has already been rescaled with the square root of the weight matrix.} \item{\code{residuals.unscaled}:}{As \code{residuals}, but without re-scaling according to different weights.} \item{\code{weightscheme}:}{A list that gives information about the weighting scheme used, s. \link{GetStabilityLm}} } } \section{Methods}{ \describe{ \item{show}{Use \code{show(object)} for brief information.} \item{plot}{Use \code{plot(object)} for a multivariate residual plot, s. \link{plot,StabilityLm}} } } \references{Mardia, K.V., Kent, J.T., Bibby, J.M. (1979). \cr Multivariate Analysis. \emph{Academic Press}} \author{Martin Slawski \email{martin.slawski@campus.lmu.de} \cr Anne-Laure Boulesteix \url{http://www.slcmsr.net/boulesteix}} \keyword{univar}