nlsList.selfStart {nlme}  R Documentation 
The response variable and primary covariate in formula(data)
are used together with model
to construct the nonlinear model
formula. This is used in the 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.
## S3 method for class 'selfStart' nlsList(model, data, start, control, level, subset, na.action = na.fail, pool = TRUE, warn.nls = NA)
model 
a 
data 
a data frame in which to interpret the variables in

start 
an optional named list with initial values for the
parameters to be estimated in 
control 
a list of control values passed as the 
level 
an optional integer specifying the level of grouping to be used when multiple nested levels of grouping are present. 
subset 
an optional expression indicating the subset of the rows of

na.action 
a function that indicates what should happen when the
data contain 
pool, warn.nls 
a list of nls
objects with as many components as the number of
groups defined by the grouping factor. A NULL
value is assigned
to the components corresponding to clusters for which the nls
algorithm failed to converge. 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.
selfStart
, groupedData
,
nls
, nlsList
,
nlme.nlsList
, nlsList.formula
fm1 < nlsList(SSasympOff, CO2) summary(fm1)