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QR-PLSR: Reduced-rank regression for high-speed hardware implementation

✍ Scribed by Frank Westad; Klaus Diepold; Harald Martens


Publisher
John Wiley and Sons
Year
1996
Tongue
English
Weight
630 KB
Volume
10
Category
Article
ISSN
0886-9383

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✦ Synopsis


A version of PLS regression is described that intends to combine the computer hardware implementation advantages of the algebraic technique of 'QR decomposition' with the statistical, interpretative and computational advantages of PLS regression. With a QR decomposition based on Givens rotations, the QR-PLS technique appears to be suited for hardware parallelization without sacrificing the modelling flexibility of PLSR.