glsObject {nlme} | R Documentation |
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
.
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 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.. |
glsStruct |
an object inheriting from class |
groups |
a vector with 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. |
José Pinheiro and Douglas Bates bates@stat.wisc.edu
gls
, glsStruct