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 apVar = FALSE in the list
of control values used in the call to gls , this
component is equal to NULL . |
call |
a list containing an image of the gls call that
produced the object. |
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 N - the number of observations in
the data and p - the number of coefficients in the linear
model. |
fitted |
a vector with the fitted values.. |
glsStruct |
an object inheriting from class glsStruct ,
representing a list of linear 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. |
method |
the estimation method: either "ML" for maximum
likelihood, or "REML" for restricted maximum likelihood. |
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. |
Jose Pinheiro Jose.Pinheiro@pharma.novartis.com and Douglas Bates bates@stat.wisc.edu
gls
, glsStruct