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The PLS model space...
The PLS model space revisited
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- Wold, Svante (författare)
- Umeå universitet,Kemiska institutionen,Research Group for Chemometrics
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Høy, Martin (författare)
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Martens, Harald (författare)
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- Trygg, Johan (författare)
- Umeå universitet,Kemiska institutionen,Computational Life Science Cluster (CLiC)
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Westad, Frank (författare)
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MacGregor, John (författare)
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Wise, Barry M (författare)
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(creator_code:org_t)
- John Wiley & Sons, Ltd, 2008
- 2008
- Engelska.
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Ingår i: Journal of Chemometrics. - : John Wiley & Sons, Ltd. - 0886-9383 .- 1099-128X. ; 23:2, s. 67-68
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Pell, Ramos and Manne (PRM) in a recent article in this journal claim that the conventional PLS algorithm with orthogonal scores has an inherent inconsistency in that it uses different model spaces for calculating the prediction model coefficients and for calculating the X-space model and it's residuals [1]. We disagree with PRM. All PLS model scores, residuals, coefficients, etc., obtained by the conventional PLS algorithm do come from the same underlying latent variable (LV) model, and not from different models or model spaces as PRM suggest. PRM have simply posed a different model with different assumptions and obtained slightly different results, as should have been expected.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
Nyckelord
- partial least squares
- latent variable regression
Publikations- och innehållstyp
- pop (ämneskategori)
- art (ämneskategori)
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