Lindgren et al. ( J . Chemometrics, 7 , 45-59 (1993)) published a so-called kernel algorithm for PLS regression of Y against X when the number of objects is very large. The algorithm is based solely on deflation of the cross-product matrices XTX, YTY and XTY. The algorithm is now described in a shor
The kernel algorithm for PLS
β Scribed by Fredrik Lindgren; Paul Geladi; Svante Wold
- Publisher
- John Wiley and Sons
- Year
- 1993
- Tongue
- English
- Weight
- 833 KB
- Volume
- 7
- Category
- Article
- ISSN
- 0886-9383
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## Abstract This paper presents a modified version of the NIPALS algorithm for PLS regression with one single response variable. This version, denoted a CFβPLS, provides significant advantages over the standard PLS. First of all, it strongly reduces the overβfit of the regression. Secondly, __R__^2