Quadratic PLS1 regression revisited
✍ Scribed by Stéphane Verdun; Mohamed Hanafi; Véronique Cariou; El Mostafa Qannari
- Book ID
- 112019605
- Publisher
- John Wiley and Sons
- Year
- 2012
- Tongue
- English
- Weight
- 169 KB
- Volume
- 26
- Category
- Article
- ISSN
- 0886-9383
- DOI
- 10.1002/cem.2447
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## Abstract The present paper develops a class of generalized partial least squares (GPLS) regression methods. GPLS can be regarded as a kind of weighted partial least squares regression method. Two special cases of them, ridge partial least squares (RPLS) and generalized ridge partial least square
Three alternative approaches are discussed for finding the final calibration model (regression coefficients) in PLS regression of k-way Y on N-way X. The simplest approach is to skip the deflation of the X-data. From the observation that the specific deflation used in multiway PLS is inconsequential