Bentler PM, Huang W. On Components, Latent Variables, PLS and Simple Methods: Reactions to Rigdon's Rethinking of PLS.
LONG RANGE PLANNING 2014;
47:138-145. [PMID:
24926106 PMCID:
PMC4048869 DOI:
10.1016/j.lrp.2014.02.005]
[Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
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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