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