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C. M. Andersen and R. Bro Variable selection in regression—a tutorial Journal of Chemometrics 24

Article first published online: 10 DEC 2010 | DOI: 10.1002/cem.1360

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, 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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