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\alias{getInitial.selfStart}
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\alias{getInitial.selfStart}
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\usage{
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\usage{
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getInitial(object, data, \dots)
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getInitial(object, data, \dots)
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}
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}
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\arguments{
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\arguments{
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  \item{object}{a formula or a \code{selfStart} model that defines a
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  \item{object}{a formula or a \code{\link{selfStart}} model that defines a
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    nonlinear regression model}
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    nonlinear regression model}
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  \item{data}{a data frame in which the expressions in the formula or
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  \item{data}{a data frame in which the expressions in the formula or
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    arguments to the \code{selfStart} model can be evaluated}
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    arguments to the \code{selfStart} model can be evaluated}
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  \item{\dots}{optional additional arguments}
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  \item{\dots}{optional additional arguments}
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}
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}
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    parameters.  The construction of many \code{selfStart} models is such
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    parameters.  The construction of many \code{selfStart} models is such
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    that these "starting" estimates are, in fact, the converged parameter
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    that these "starting" estimates are, in fact, the converged parameter
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    estimates.
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    estimates.
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}
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}
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\author{\enc{José}{Jose} Pinheiro and Douglas Bates}
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\author{\enc{José}{Jose} Pinheiro and Douglas Bates}
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\seealso{\code{\link{nls}}, %\code{\link{nlsList}},
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\seealso{\code{\link{nls}}, \code{\link{selfStart}},
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    \code{\link{selfStart}},
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  \code{\link{selfStart.default}}, \code{\link{selfStart.formula}}.
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    \code{\link{selfStart.default}}, \code{\link{selfStart.formula}}
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  Further,  \code{\link[nlme]{nlsList}} from \CRANpkg{nlme}.
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}
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}
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\examples{
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\examples{
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PurTrt <- Puromycin[ Puromycin$state == "treated", ]
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PurTrt <- Puromycin[ Puromycin$state == "treated", ]
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print(getInitial( rate ~ SSmicmen( conc, Vm, K ), PurTrt ), digits = 3)
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print(getInitial( rate ~ SSmicmen( conc, Vm, K ), PurTrt ), digits = 3)
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}
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}