Scientific Publications with referee

Path modelling by sequential PLS regression.

 

Facts

Year 2011
Abstract This paper presents a new approach to path modelling, based on a sequential multi-block modelling in latent variables. The approach is explorative and focused on interpretation. The method breaks with standard traditions of estimating all paths using one single modelling. Instead, one separate model is estimated for each endogenous block. Each separate model is constructed by stepwise use of the standard PLS regression on matrices that are orthogonalised with respect to each other. The advantages of the approach are that it can allow for different dimensionality within each block, it is invariant to relative weighting of the blocks and it is based on simple and standard methodology allowing for simple outlier detection, validation and interpretation. No convergence problems are involved and the method can be used for situations with many more variables than samples. An application based on sensory analysis of wines will be used to illustrate the method.
Reference Næs, T., Tomic, O., Mevik, B.-H., Martens, H. 2011. Path modelling by sequential PLS regression. Journal of Chemometrics, Vol 25, pp 28-40.
Publisher Journal of Chemometrics,

Related persons

  • Tormod Næs

    Senior Research Scientist

    Phone: +47 64970165

    Cellphone: +47 913 52 032

  • Oliver Tomic

    Research Scientist

    Phone: +47 64970252

  • Harald Martens

    Senior Research Scientist/Prof II, Centre for Integrative Genetics (CIGENE), UMB/Adj.prof. Univ of Copenhagen, Denmark

    Phone: +47 64970291

    Cellphone: +47 950 75 025

Research area

Research area