| glsObject {nlme} | R Documentation |
Fitted gls Object
Description
An object returned by the gls function, inheriting from class
"gls" and representing a generalized least squares fitted linear
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 "gls"
object.
apVar |
an approximate covariance matrix for the
variance-covariance coefficients. If |
call |
a list containing an image of the |
coefficients |
a vector with the estimated linear model coefficients. |
contrasts |
a list of the contrast matrices 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 |
the correlation structure grouping factor, if any is present. |
logLik |
the log-likelihood at convergence. |
method |
the estimation method: either |
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. |
Author(s)
José Pinheiro and Douglas Bates bates@stat.wisc.edu