Summarize an Object - Generic Function
DESCRIPTION:
Provides a synopsis of an object.

This function is generic (see Methods); method functions can be written to handle specific classes of data. Classes which already have methods for this function include: aov, aovlist, data.frame, factor, gam, glm, lm, loess, mlm, ms, nls, ordered, terms, tree.

USAGE: 
summary(object, ...)
REQUIRED ARGUMENTS:
object:
any object, including a fitted model object of various kinds, a data frame, or a factor.
OPTIONAL ARGUMENTS:
...:
some methods have additional arguments.
VALUE:
a summary object is returned---usually a list-like object whose elements describe the contents of the argument to summary(). For example, the method for lm objects produces an object of class "summary.lm" with components "residuals", "correlation", "cov.unscaled", "r.squared", and more. There is a print() method corresponding to each "summary." class, so typing summary(object) will not save the summary, but rather produce a nicely formatted table of a selection of the components in the summary object. Simpler summary methods may get away without a special class; e.g., the summary for factors is the value of a call to table().
DETAILS:
Takes any S-PLUS object and returns a list of elements that describe the object's contents.
SEE ALSO:
Methods .
EXAMPLES: 
stackfit <- lm(fomula = stack.loss ~ stack.x) # create object


summary(stackfit)


# Gives the following output:
 Call: lm(formula = stack.loss ~ stack.x)
 Residuals:
        Min        1Q    Median       3Q      Max
     -7.238    -1.712   -0.4551    2.361    5.698


 Coefficients:
               Value Std. Error t value Pr(>|t|)
     (Int.) -39.9197  11.8960   -3.3557   0.0038
   Air Flow   0.7156   0.1349    5.3066   0.0001
 Water Temp   1.2953   0.3680    3.5196   0.0026
 Acid Conc.  -0.1521   0.1563   -0.9733   0.3440


 Residual standard error: 3.243 on 17 degrees of freedom
 Multiple R-Squared: 0.9136
 F-statistic: 59.9 on 3 and 17 degrees of freedom, the
   p-value is 3.016e-009


 Correlation of Coefficients:
             (Intercept) Air Flow Water Temp
   Air Flow  0.1793
 Water Temp -0.1489      -0.7356
 Acid Conc. -0.9016      -0.3389   0.0002