.\" -*- nroff -*- generated from .Rd format
.BG
.FN nlsList
.TL
List of nls Objects with a Common Model
.DN
`Data' is partitioned according to the levels of the grouping
factor defined in `model' and individual `nls' fits are
obtained for each `data' partition, using the model defined in
`model'.
.CS
nlsList(model, data, start, control, level, na.action, pool)
.RA
.AG model
either a nonlinear model formula, with the response on
the left of a `~' operator and an expression involving
parameters, covariates, and a grouping factor separated by the
`|' operator on the right, or a `selfStart' function.  The
method function `nlsList.selfStart' is documented separately.
.AG data
a data frame in which to interpret the variables named in
`model'.
.OA
.AG start
an optional named list with initial values for the
parameters to be estimated in `model'. It is passed as the
`start' argument to each `nls' call and is required when
the nonlinear function in `model' does not inherit from class
`selfStart'.
.AG control
a list of control values passed as the `control'
argument to `nls'. Defaults to an empty list.
.AG level
an optional integer specifying the level of grouping to be used when 
multiple nested levels of grouping are present.
.AG na.action
a function that indicates what should happen when the
data contain `NA's.  The default action (`na.fail') causes
`nlsList' to print an error message and terminate if there are any
incomplete observations.
.AG pool
an optional logical value that is preserved as an attribute of the
returned value.  This will be used as the default for `pool' in
calculations of standard deviations or standard errors for summaries.

.RT
a list of `nls' objects with as many components as the number of
groups defined by the grouping factor. Generic functions such as
`coef', `fixed.effects', `lme', `pairs',
`plot', `predict', `random.effects', `summary',
and `update' have methods that can be applied to an `nlsList'
object.

.SA
`nls', `nlme.nlsList'.
.EX
fm1 <- nlsList(weight ~ SSlogis(Time, Asym, xmid, scal) | Plot, Soybean)
.KW models
.WR
