\HeaderA{nlsList.selfStart}{nlsList Fit from a selfStart Function}{nlsList.selfStart}
\keyword{models}{nlsList.selfStart}
\begin{Description}\relax
The response variable and primary covariate in \code{formula(data)}
are used together with \code{model} to construct the nonlinear model
formula. This is used in the \code{nls} calls and, because a
selfStarting model function can calculate initial estimates for its
parameters from the data, no starting estimates need to be provided.
\end{Description}
\begin{Usage}
\begin{verbatim}
## S3 method for class 'selfStart':
nlsList(model, data, start, control, level, subset, na.action, pool)
\end{verbatim}
\end{Usage}
\begin{Arguments}
\begin{ldescription}
\item[\code{model}] a \code{selfStart} model function, which calculates
initial estimates for the model parameters from \code{data}.
\item[\code{data}] a data frame in which to interpret the variables in
\code{model}. Because no grouping factor can be specified in
\code{model}, \code{data} must inherit from class
\code{groupedData}. 

\item[\code{start}] an optional named list with initial values for the
parameters to be estimated in \code{model}. It is passed as the
\code{start} argument to each \code{nls} call and is required when
the nonlinear function in \code{model} does not inherit from class
\code{selfStart}.

\item[\code{control}] a list of control values passed as the \code{control}
argument to \code{nls}. Defaults to an empty list.

\item[\code{level}] an optional integer specifying the level of grouping to
be used when multiple nested levels of grouping are present.
\item[\code{subset}] an optional expression indicating the subset of the rows of
\code{data} that should be used in the fit. This can be a logical
vector, or a numeric vector indicating which observation numbers are
to be included, or a  character  vector of the row names to be
included.  All observations are included by default.
\item[\code{na.action}] a function that indicates what should happen when the
data contain \code{NA}s.  The default action (\code{na.fail}) causes
\code{nlsList} to print an error message and terminate if there are any
incomplete observations.

\item[\code{pool}] an optional logical value that is preserved as an attribute of the
returned value.  This will be used as the default for \code{pool} in
calculations of standard deviations or standard errors for summaries.

\end{ldescription}
\end{Arguments}
\begin{Value}
a list of \code{nls} objects with as many components as the number of
groups defined by the grouping factor. A \code{NULL} value is assigned
to the components corresponding to clusters for which the \code{nls}
algorithm failed to converge. Generic functions such as \code{coef},
\code{fixed.effects}, \code{lme}, \code{pairs}, \code{plot},
\code{predict}, \code{random.effects}, \code{summary}, and
\code{update} have methods that can be applied to an \code{nlsList}
object.
\end{Value}
\begin{SeeAlso}\relax
\code{\LinkA{selfStart}{selfStart}}, \code{\LinkA{groupedData}{groupedData}}, \code{\LinkA{nls}{nls}},
\code{\LinkA{nlme.nlsList}{nlme.nlsList}}, \code{\LinkA{nlsList.formula}{nlsList.formula}}
\end{SeeAlso}
\begin{Examples}
\begin{ExampleCode}
fm1 <- nlsList(SSasympOff, CO2)
summary(fm1)
\end{ExampleCode}
\end{Examples}

