leaps: leaps.setup – R documentation

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leaps.setup

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

leaps.setup

Description

Usage

Arguments

See Also

leaps

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