Variable selection in regression - a tutorial

Authors
Charlotte M. Andersen and Rasmus Bro
Published
2010
DOI
10.1002/cem.1360
Citation
Andersen and Bro: "Variable selection in regression - a tutorial", Journal of Chemometrics, 24, 728-737, 2010.
Abstract
This paper provides a practical guide to variable selection in chemometrics with a focus on regression-based calibration models. Several approaches, such as genetic algorithms (GAs), jack-knifing, forward selection, etc., are explained; it is also explained how to choose between different kinds of variable selection methods. The emphasis in this paper is on how to use variable selection in practice and avoid the most common pitfalls.
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