R: Internal functions for leaps(), subsets()

leaps.setup {leaps} | R Documentation

## Internal functions for leaps(), subsets()

### Description

These functions are used internally by `regsubsets` and `leaps`. They are wrappers for Fortran routines that construct and manipulate a QR decomposition.

### Usage

    leaps.setup(x,y,wt=rep(1,length(y)),force.in=NULL,force.out=NULL,intercept=TRUE,nvmax=8,
      nbest=1,warn.dep=TRUE)
    leaps.seqrep(leaps.obj)
    leaps.exhaustive(leaps.obj,really.big=FALSE)
    leaps.backward(leaps.obj,nested)
    leaps.forward(leaps.obj,nested)

### Arguments

`x` | A matrix of predictors
`y` | A response vector
`wt` | Optional weight vector
`intercept` | Add an intercept to the model
`force.in` | vector indicating variable that must be in the model
`force.out` | vector indicating variable that must not be in the model
`nbest` | Number of subsets of each size to report
`nvmax` | largest subset size to examine
`warn.dep` | warn if `x` is not of full rank
`leaps.obj` | An object of class `leaps` as produced by `leaps.setup`
`really.big` | required before R gets sent off on a long uninterruptible computation
`nested` | Use just the forward or backward selection models, not the models with variables `1:nvmax` constructed for free in the setup

### See Also

`regsubsets`, `leaps`

[Package leaps version 3.0 Index]