wle.stepwise.summaries: Accessing summaries for wle.stepwise
In wle: Weighted Likelihood Estimation

Description Usage Arguments Details Value Author(s)

All these functions are methods for class wle.stepwise or summary.wle.stepwise.

## S3 method for class 'wle.stepwise'
summary(object, num.max=20, verbose=FALSE, ...)

## S3 method for class 'wle.stepwise'
print(x, digits = max(3, getOption("digits") -
3), num.max=max(1, nrow(x$wstep)), ...)

## S3 method for class 'summary.wle.stepwise'
print(x, digits = max(3, getOption("digits") - 3), ...)

`object`	an object of class `wle.stepwise`.
`x`	an object of class `wle.stepwise` or `summary.wle.stepwise`.
`digits`	number of digits to be used for most numbers.
`num.max`	the number of the last iterations reported.
`verbose`	if `TRUE` warnings are printed.
`...`	additional arguments affecting the summary produced (in `summary.wle.stepwise`) or further arguments passed to or from other methods (in `print.wle.stepwise` and `print.summary.wle.stepwise`).

The generic accessor functions coefficients, fitted.values, residuals and weights can be used to extract various useful features of the value returned by wle.stepwise.

The function summary.wle.stepwise returns the last num.max iterations, call plus:

`wstep`	the model for each iteration reported.
`num.max`	the numeber of iterations reported.
`type`	the type of selection procedure used.
`f.in`	the in value.
`f.out`	the out value.