1\name{summary.nlrob}
2\alias{summary.nlrob}
3
4\title{Summarizing Robust Fits of Nonlinear Regression Models }
5\description{
6  \code{summary} method for objects of class \code{"nlrob"}, i.e.,
7  \code{\link{nlrob}()} results.  Currently it only works for
8  \code{nlrob(*, method="M")}.
9}
10\usage{
11\method{summary}{nlrob}(object, correlation = FALSE, symbolic.cor = FALSE, ...)
12}
13
14\arguments{
15  \item{object}{an object of class \code{"nlrob"}, usually, a result of
16    a call to \code{\link{nlrob}}.}
17  \item{correlation}{logical variable indicating whether
18    to compute the correlation matrix of the estimated coefficients.}
19  \item{symbolic.cor}{logical indicating whether
20    to use symbols to display the above correlation matrix.}
21  \item{\dots}{further arguments passed to or from other methods.}
22}
23
24\value{
25  The function \code{\link{summary.nlrob}} computes and returns an
26  object of class \code{"summary.nlrob"} of summary statistics of the
27  robustly fitted linear model given in \code{object}.
28  There is a print method, \code{print.summary.lmrob()}, which nicely
29  formats the output.
30
31  The result keeps a large part of \code{object}'s components such as
32  \code{residuals}, \code{cov} or \code{w}, and additionally contains
33  \item{coefficients}{the matrix of coefficients, standard errors and
34    p-values.}
35  \item{correlation}{if the \code{correlation} argument was true, the
36    correlation matrix of the parameters.}
37%% maybe add more
38}
39
40\author{Andreas Ruckstuhl}
41
42\seealso{\code{\link{nlrob}()}, also for examples.
43}
44\keyword{regression}
45\keyword{nonlinear}
46\keyword{robust}
47