Core argument of the Ph.D. Thesis is Partial Least Squares (PLS), a class of techniques for modelling relations between sets of observed quantities through latent variables in presence of collinearity. Aim of the thesis is to describe PLS, starting from an overview of the discipline where PLS takes place up to the application of PLS to a real dataset, moving through a critical comparison with alternative techniques. Conclusions are made and future perspectives are highlighted.
The PLS regression model: algorithms and application to chemometric data / Stefania Del Zotto - Udine. , 2013 May 27. 25. ciclo
The PLS regression model: algorithms and application to chemometric data
Del Zotto, Stefania
2013-05-27
Abstract
Core argument of the Ph.D. Thesis is Partial Least Squares (PLS), a class of techniques for modelling relations between sets of observed quantities through latent variables in presence of collinearity. Aim of the thesis is to describe PLS, starting from an overview of the discipline where PLS takes place up to the application of PLS to a real dataset, moving through a critical comparison with alternative techniques. Conclusions are made and future perspectives are highlighted.File in questo prodotto:
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