lmSelect.matrix

<code>"matrix"</code>---the model matrix

formula

<code>double[]</code>---the model response

<code>logical[]</code>---if <code>FALSE</code>, remove intercept
 term

intercept

forwarded to
 <code><a rd-options="=lmSelect.default" href="/link/lmSelect.default()?package=lmSubsets&version=0.5-2&to=%3DlmSelect.default" data-mini-rdoc="=lmSelect.default::lmSelect.default()">lmSelect.default()</a></code>

Matrix interface to best-variable-subset selection in ordinary linear
 regression.

regression

Exact and approximation algorithms for variable-subset
selection in ordinary linear regression models. Either compute all
submodels with the lowest residual sum of squares, or determine the
single-best submodel according to a pre-determined statistical
criterion. Hofmann et al. (2020) <doi:10.18637/jss.v093.i03>.

Marc Hofmann

lmSubsets

Exact Variable-Subset Selection in Linear Regression

Cristian Gatu

Erricos J. Kontoghiorghes

Ana Colubi

Achim Zeileis

Martin Moene

Microsoft Corporation 

Free Software Foundation, Inc. 

lmSelect.matrix function

forwarded to
 <code><a rd-options='=lmSelect.default' href='lmSelect.default()'>lmSelect.default()</a></code>

lmSelect.matrix: Best-subset regression

Description

Usage

Arguments

Value

Details

See Also