Description Value Author(s) See Also
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 
call 
a list containing an image of the 
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 
fitted 
a vector with the fitted values. 
modelStruct 
an object inheriting from class 
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. 
José Pinheiro and Douglas Bates [email protected]
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