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Three new statistical methods based on Partial Least Square Discriminant Analysis algorithm (PLSDA) are proposed.
Spectral models for TSS prediction were developed, based on Partial Least Squares regression.
A process optimization method based on partial least squares (PLS) has been used in pharmaceutical processes.
Multivariate analysis based on Partial Least Square (PLS) techniques was applied for data management and prediction models building.
On the basis of this protocol, prediction models based on partial least squares (PLS) regression were then carried out.
Several modifications based on partial least squares (PLS) have been proposed to solve the relevant problems for linear systems.
Similar(33)
In particular, two different machine learning strategies based on partial least-squares regression are developed: the first contains only linear terms that represent a given residue's independent contribution to fitness, the second contains additional nonlinear terms to account for potential epistatic coupling between residues.
In this paper, we present a MLAS approach based on partial least-squares (PLS) analysis, while avoiding large dfs.
Based on partial least-squares (PLS) analysis, we develop a MLAS approach, while avoiding large dfs in MLAS.
To develop the theoretical framework, we created a structural research model of ease of use, usefulness, satisfaction, deepened experiences through tablet use, beliefs about the future, and self-efficacy in tablet-based interactive classrooms based on a partial least squares (PLS) method.
Based on partial returns, President Gloria Macapagal Arroyo's coalition will easily control the lower house.
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