Fitted gnls Object

DESCRIPTION:

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 .

VALUE:

The following components must be included in a legitimate gnls object.
apVar
an approximate covariance matrix for the variance-covariance 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 log-likelihood at convergence.
numIter
the number of iterations used in the iterative algorithm.
residuals
a vector with the residuals.
sigma
the estimated residual standard error.
varBeta
an approximate covariance matrix of the coefficients estimates.

SEE ALSO:

,