summary.gls: Summarize a Generalized Least Squares gls Object
Additional information about the linear model fit represented
by object is extracted and included as components of
# S3 method for gls
summary(object, verbose, …)
an object inheriting from class "gls", representing
a generalized least squares fitted linear model.
an optional logical value used to control the amount of
output when the object is printed. Defaults to FALSE.
some methods for this generic require additional
arguments. None are used in this method.
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:
approximate correlation matrix for the coefficients
a 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.
if 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
the Akaike Information Criterion corresponding to
the Bayesian Information Criterion corresponding to