| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1021321 | Long Range Planning | 2014 | 8 Pages |
Abstract
Rigdon (2012) suggests that partial least squares (PLS) can be improved by killing it, that is, by making it into a different methodology based on components. We provide some history on problems with component-type methods and develop some implications of Rigdon's suggestion. It seems more appropriate to maintain and improve PLS as far as possible, but also to freely utilize alternative models and methods when those are more relevant in certain data analytic situations. Huang's (2013) new consistent and efficient PLSe2 methodology is suggested as a candidate for an improved PLS.
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Authors
Peter M. Bentler, Wenjing Huang,