\Header{lm.summaries}{Accessing Linear Model Fits}
\alias{coefficients.lm}{lm.summaries}
\alias{family.lm}{lm.summaries}
\alias{fitted.values.lm}{lm.summaries}
\alias{formula.lm}{lm.summaries}
\alias{residuals.lm}{lm.summaries}
\alias{weights}{lm.summaries}
\methalias{weights.default}{lm.summaries}
\methalias{weights.lm}{lm.summaries}
\keyword{regression}{lm.summaries}
\keyword{models}{lm.summaries}
\begin{Description}\relax
All these functions are \code{\Link{methods}} for class \code{"lm"}  objects.\end{Description}
\begin{Usage}
\begin{verbatim}
coefficients(object, ...) ; \method\end{verbatim}
\end{Usage}
\begin{Arguments}
\begin{ldescription}
\item[\code{object, x}] an object of class \code{lm}, usually, a result of a
call to \code{\Link{lm}}.
\item[\code{...}] further arguments passed to or from other methods.
\end{ldescription}
\end{Arguments}
\begin{Details}\relax
The generic accessor functions \code{coefficients}, \code{effects},
\code{fitted.values} and \code{residuals} can be used to extract
various useful features of the value returned by \code{lm}.\end{Details}
\begin{SeeAlso}\relax
The model fitting function \code{\Link{lm}}, \code{\Link{anova.lm}}.

\code{\Link{coefficients}}, \code{\Link{deviance}},
\code{\Link{df.residual}},
\code{\Link{effects}}, \code{\Link{fitted.values}},
\code{\Link{glm}} for \bold{generalized} linear models,
\code{\Link{lm.influence}} for regression diagnostics,
\code{\Link{weighted.residuals}},
\code{\Link{residuals}}, \code{\Link{residuals.glm}},
\code{\Link{summary.lm}}.\end{SeeAlso}
\begin{Examples}
\begin{ExampleCode}

##-- Continuing the  lm(.) example:
coef(lm.D90)# the bare coefficients

## The 2 basic regression diagnostic plots [plot.lm(.) is preferred]
plot(resid(lm.D90), fitted(lm.D90))# Tukey-Anscombe's
abline(h=0, lty=2, col = 'gray')

qqnorm(residuals(lm.D90))
\end{ExampleCode}
\end{Examples}

