DUAL PLS ANALYSIS | International Journal of Information Technology ...
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A new multivariate statistical technique is obtained for comparing and combining two or more data sets each of which has a different number of respondents ...
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A new multivariate statistical technique is obtained for comparing and combining two or more data sets each of which has a different number of respondents ...
A new multivariate statistical technique is obtained for comparing and combining two or more data sets each of which has a di®erent number of respondents ...
Jun 15, 2023 · The variant presented in this paper, Dual-sPLS, generalizes the classical PLS1 algorithm. It provides balance between accurate prediction and ...
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A new multivariate statistical technique is obtained for comparing and combining two or more data sets each of which has a different number of respondents ...
Jun 15, 2023 · It is based on penalizations inspired by classical regression methods (lasso, group lasso, least squares, ridge) and uses the dual norm notion.
Jan 17, 2023 · The variant presented in this paper, Dual-sPLS, generalizes the classical PLS1 algorithm. It provides bal- ance between accurate prediction and ...
Mar 12, 2021 · Dual-SPLS and some applicative results on petroleum data sets. Keywords. Partial Least Squares, sparsity, regression, dual norm, lasso algorithm ...
Aug 20, 2013 · The algorithm contains two steps of stacked regression and Partial Least Squares (PLS), termed Dual Stacked Partial Least Squares (DSPLS) ...
Bibliographic details on Dual PLS Analysis.