an object inheriting from class `summary.gls`

with all components
included in `object`

(see `glsObject`

for a full
description of the components) plus the following components:

corBetaapproximate correlation matrix for the coefficients
estimates

tTablea matrix with columns `Value`

,
`Std. Error`

, `t-value`

, and `p-value`

representing
respectively the coefficients estimates, their approximate standard
errors, the ratios between the estimates and their standard errors,
and the associated p-value under a \(t\) approximation. Rows
correspond to the different coefficients.

residualsif more than five observations are used in the
`gls`

fit, a vector with the minimum, first quartile, median, third
quartile, and maximum of the residuals distribution; else the
residuals.

AICthe Akaike Information Criterion corresponding to
`object`

.

BICthe Bayesian Information Criterion corresponding to
`object`

.