leaps.setup: Internal functions for leaps(), subsets()

In leaps: Regression Subset Selection

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

leaps documentation built on June 22, 2024, 9:58 a.m.