Generalization of Quantification for PLS Correlation Yi, Seong-Keun; Huh, Myung-Hoe;
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^ta+b^tb+c^tc
Partial Least Squares(PLS);generalization of quantification for PLS correlation;
Han, S.-T. (1995). Quantification Approach to Ranked Data Analysis, Doctoral Dissertation, Korea University.
Helland, I. (2005). Partial least squares regression, The Encyclopedia of Statistical Sciences, Second Edition (edited by Kotz), 5957-5962.