nls represent the information about a structural model,
as specified by a formula.
This class of objects is generated by the
nls function to represent
the result of using nonlinear least squares to fit a nonlinear model.
This is an object inheriting from class
"nls"
with the following components:
nls, but with all the arguments explicitly
named, so that the
data component of the call always gives the
data
argument, and so on.
formula.
parameters component
to the named parameters (e.g., as specified by the
start
argument).
Note that the
names attribute of
parameters gives the individual
names; where an element of
assign is of length > 1, the individual
parameter names will be extended to be unique.
The elements of this list are weakly analogous to the terms in a
linear model, and the
assign components in this sense serve the
same function in both cases.
data argument with the final value of the parameters.
This is returned if the
control in the fit included
data=T.
The returned data will be a parametrized data frame if the data in
the fit inherited from
"data.frame".