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Combining SO-PLS and linear discriminant analysis for multi-block classification

  • Published:2015-02 Issue: Volume:141 Page:58-67
  • ISSN:0169-7439
  • Container-title:Chemometrics and Intelligent Laboratory Systems
  • language:en
  • Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Biancolillo Alessandra,Måge Ingrid,Næs Tormod

Funder

FFL

Research Council of Norway

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference24 articles.

1. Multivariate data analysis as a tool in advanced quality monitoring in the food production chain;Bro;Trends Food Sci. Technol.,2002

2. Analysis of -omics data: graphical interpretation- and validation tools in multi-block methods;Hassani;Chemometr. Intell. Lab. Syst.,2010

3. Multi-block regression based on combinations of orthogonalisation, PLS-regression and canonical correlation analysis;Næs;Chemometr. Intell. Lab. Syst.,2013

4. Preference mapping by PO-PLS: separating common and unique information in several data blocks;Måge;Food Qual. Prefer.,2012

5. OnPLS—a novel multiblock method for the modelling of predictive and orthogonal variation;Löfstedt;J. Chemometr.,2011
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