dropvar: Drop variable

In gets: General-to-Specific (GETS) Modelling and Indicator Saturation Methods

Drop variable

Description

Drops columns in a matrix to avoid perfect multicollinearity.

Usage

dropvar(x, tol=1e-07, LAPACK=FALSE, silent=FALSE)

Arguments

x	a matrix, possibly less than full column rank.
tol	numeric value. The tolerance for detecting linear dependencies among regressors, see qr function. Only used if LAPACK is FALSE
LAPACK	logical, TRUE or FALSE (default). If true use LAPACK otherwise use LINPACK, see qr function
silent	logical, TRUE (default) or FALSE. Whether to print a notification whenever a regressor is removed

Details

Original function drop.coef developed by Rune Haubo B. Christensen in package ordinal, https://cran.r-project.org/package=ordinal.

Value

a matrix whose regressors linearly independent

Author(s)

Rune Haubo B. Christensen, with modifications by Genaro Sucarrat, http://www.sucarrat.net/

References

Rune H.B. Christensen (2014): 'ordinal: Regression Models for Ordinal Data'. https://cran.r-project.org/package=ordinal

See Also

isat

Examples

set.seed(1)
x <- matrix(rnorm(20), 5)
dropvar(x) #full rank, none are dropped

x[,4] <- x[,1]*2
dropvar(x) #less than full rank, last column dropped

gets documentation built on Oct. 10, 2022, 1:06 a.m.