gnlsObject {nlme}  R Documentation 
An object returned by the gnls
function, inheriting from class
gnls
and also from class gls
, and representing a
generalized nonlinear least squares fitted model. Objects of this
class have methods for the generic functions anova
,
coef
, fitted
, formula
, getGroups
,
getResponse
, intervals
, logLik
, plot
,
predict
, print
, residuals
, summary
, and
update
.
The following components must be included in a legitimate gnls
object.
apVar 
an approximate covariance matrix for the
variancecovariance coefficients. If apVar = FALSE in the list
of control values used in the call to gnls , this
component is equal to NULL . 
call 
a list containing an image of the gnls call that
produced the object. 
coefficients 
a vector with the estimated nonlinear model coefficients. 
contrasts 
a list with the contrasts used to represent factors in the model formula. This information is important for making predictions from a new data frame in which not all levels of the original factors are observed. If no factors are used in the model, this component will be an empty list. 
dims 
a list with basic dimensions used in the model fit,
including the components N  the number of observations used in
the fit and p  the number of coefficients in the nonlinear
model. 
fitted 
a vector with the fitted values. 
modelStruct 
an object inheriting from class gnlsStruct ,
representing a list of model components, such as corStruct and
varFunc objects. 
groups 
a vector with the correlation structure grouping factor, if any is present. 
logLik 
the loglikelihood at convergence. 
numIter 
the number of iterations used in the iterative algorithm. 
plist 

pmap 

residuals 
a vector with the residuals. 
sigma 
the estimated residual standard error. 
varBeta 
an approximate covariance matrix of the coefficients estimates. 
Jose Pinheiro Jose.Pinheiro@pharma.novartis.com and Douglas Bates bates@stat.wisc.edu
gnls
, gnlsStruct