Comparison of variable selection methods in partial least squares regression
نویسندگان
چکیده
منابع مشابه
Model selection for partial least squares regression
Partial least squares (PLS) regression is a powerful and frequently applied technique in multivariate statistical process control when the process variables are highly correlated. Selection of the number of latent variables to build a representative model is an important issue. A metric frequently used by chemometricians for the determination of the number of latent variables is that of Wold’s ...
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ژورنال
عنوان ژورنال: Journal of Chemometrics
سال: 2020
ISSN: 0886-9383,1099-128X
DOI: 10.1002/cem.3226