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\name{summary.nlrob}
\alias{summary.nlrob}
\title{Summarizing Robust Fits of Nonlinear Regression Models }
\description{
\code{summary} method for objects of class \code{"nlrob"}, i.e.,
\code{\link{nlrob}()} results. Currently it only works for
\code{nlrob(*, method="M")}.
}
\usage{
\method{summary}{nlrob}(object, correlation = FALSE, symbolic.cor = FALSE, ...)
}
\arguments{
\item{object}{an object of class \code{"nlrob"}, usually, a result of
a call to \code{\link{nlrob}}.}
\item{correlation}{logical variable indicating whether
to compute the correlation matrix of the estimated coefficients.}
\item{symbolic.cor}{logical indicating whether
to use symbols to display the above correlation matrix.}
\item{\dots}{further arguments passed to or from other methods.}
}
\value{
The function \code{\link{summary.nlrob}} computes and returns an
object of class \code{"summary.nlrob"} of summary statistics of the
robustly fitted linear model given in \code{object}.
There is a print method, \code{print.summary.lmrob()}, which nicely
formats the output.
The result keeps a large part of \code{object}'s components such as
\code{residuals}, \code{cov} or \code{w}, and additionally contains
\item{coefficients}{the matrix of coefficients, standard errors and
p-values.}
\item{correlation}{if the \code{correlation} argument was true, the
correlation matrix of the parameters.}
%% maybe add more
}
\author{Andreas Ruckstuhl}
\seealso{\code{\link{nlrob}()}, also for examples.
}
\keyword{regression}
\keyword{nonlinear}
\keyword{robust}
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