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- W2000002355 abstract "This study proposes a quantification algorithm for a PLS method with several sets of variables. We called the quantification method for PLS with more than 2 sets of data a generalization. The basis of the quantification for PLS method is singular value decomposition. To derive the form of singular value decomposition in the data with more than 2 sets more easily, we used the constraint, a t a + b t b + c t c = 3 not a t a = 1, b t b = 1, and c t c = 1, for instance, in the case of 3 data sets. However, to prove that there is no difference, we showed it by the use of 2 data sets case because it is very complicate to prove with 3 data sets. The keys of the study are how to form the singular value decomposition and how to get the coordinates for the plots of variables and observations." @default.
- W2000002355 created "2016-06-24" @default.
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- W2000002355 date "2012-02-29" @default.
- W2000002355 modified "2023-09-24" @default.
- W2000002355 title "Generalization of Quantification for PLS Correlation" @default.
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- W2000002355 doi "https://doi.org/10.5351/kjas.2012.25.1.225" @default.
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