nlme (version 3.1-86)

summary.gls: Summarize a gls Object

Description

Additional information about the linear model fit represented by object is extracted and included as components of object.

Usage

## S3 method for class 'gls':
summary(object, verbose, \dots)

Value

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 estimatestTablea data frame 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.

See Also

AIC, BIC, gls, summary

Examples

fm1 <- gls(follicles ~ sin(2*pi*Time) + cos(2*pi*Time), Ovary,
           correlation = corAR1(form = ~ 1 | Mare))
summary(fm1)

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