

   AAcccceessssiinngg GGeenneerraalliizzeedd LLiinneeaarr MMooddeell FFiittss

        summary(object, dispersion = NULL, correlation = FALSE,
                na.action = na.omit)
        anova(object, ..., test = NULL, na.action = na.omit)
        anova.glmlist(object, test = NULL, na.action = na.omit)
        coefficients(x) ; coef(x)
        df.residual(x)
        family(x)
        fitted.values(x) ; fitted(x)
        residuals(x, type="deviance")

        print.summary(summary.glm.obj, digits = max(3, .Options$digits - 3),
                      na.print="", symbolic.cor = p > 4,
                   signif.stars= .Options$show.signif.stars, ...)

   AArrgguummeennttss::

   object, x: an object of class `glm', typically the result of
             `glm(..)'.

   dispersion: the dispersion parameter for the fitting family.
             By default it is obtained from `glm.obj'.

   correlation: logical; if `TRUE', the correlation matrix of
             the estimated parameters is returned and printed.

       type: the type of residuals which should be returned.
             The alternatives are: `"deviance"', `"pearson"',
             `"working"', `"response"'.

   DDeessccrriippttiioonn::

        These functions are all `methods' for class `glm' or
        `summary.glm' and `anova.glm' objects.

        `anova.glmlist' is called from `anova.glm' for compari-
        son of several `glm' models.

   VVaalluuee::

        The function `summary.' can be used to obtain or print
        a summary of the results and the function `anova' and
        be used to produce and analysis of variance table.

   SSeeee AAllssoo::

        `glm' for computing `glm.obj'; the corresponding
        generic functions, `summary', `anova', `coefficients',
        `deviance', `effects', `fitted.values', `residuals'.

   EExxaammpplleess::

        ## --- Continuing the Example from  ``?glm'':

        ## --- Continuing the Example from  ``?glm'':

        summary(glm.D93)
        anova(glm.D93)
        anova(glm.D93, test = "Cp")

        summary(glm.D93)
        anova(glm.D93)
        anova(glm.D93, test = "Cp")

