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.
|