The R Project SVN R

\name{nls.control}
\alias{nls.control}
\title{Control the Iterations in nls}
\description{
    Allow the user to set some characteristics of the \code{nls}
    nonlinear least squares algorithm.
}
\usage{
nls.control(maxiter=50, tol=1e-05, minFactor=1/1024)
}
\arguments{
 \item{maxiter}{A positive integer specifying the maximum number of
     iterations allowed.}
 \item{tol}{A positive numeric value specifying the tolerance level for
     the relative offset convergence criterion.
 \item{minFactor}{A positive numeric value specifying the minimum
     step-size factor allowed on any step in the iteration.  The
     increment is calculated with a Gauss-Newton algorithm and
     successively halved until the residual sum of squares has been
     decreased or until the step-size factor has been reduced below this
     limit.}
}
\value{
    A \code{list} with exactly three components:
    \item{maxiter}{}
    \item{tol}{}
    \item{minFactor}{}
}
\references{Bates and Watts (1988), \emph{Nonlinear Regression Analysis
    and Its Applications}, Wiley.}
\author{Douglas Bates and Saikat DebRoy}
\seealso{\code{\link{nls}}}
\examples{
nls.control(minFactor = 1/2048)
}
\keyword{nonlinear}
\keyword{regression}
\keyword{models}