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Browsing NOFIMA vitenarkiv by Author "Tomic, Oliver"

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    • A comparison of generalised procrustes analysis and multiple factor analysis for projective mapping data 

      Tomic, Oliver; Berget, Ingunn; Næs, Tormod (Peer reviewed; Journal article, 2015)
      Generalised procrustes analysis and multiple factor analysis are multivariate statistical methods that belong to the family of multiblock methods. Both methods are often used for analysis of data from projective mapping ...
    • A comparison of methods for analyzing multivariate sensory data in designed experiments - A case study of salt reduction in liver paste 

      Næs, Tormod; Tomic, Oliver; Greiff, Kirsti; Thyholt, Kari (Peer reviewed; Journal article, 2014)
      This paper presents a comparison of different methods for analyzing designed experiments. The methods used are based on PCA, PLS and ANOVA, used either separately or in combination. Special emphasis will be on how to obtain ...
    • Application of sequential and orthogonalised-partial least squares (SO-PLS) regression to predict sensory properties of Cabernet Sauvignon wines from grape chemical composition 

      Niimi, Jun; Tomic, Oliver; Næs, Tormod; Jeffery, David; Bastian, Susan E.P.; Boss, Paul K. (Journal article; Peer reviewed, 2018)
    • hoggorm: a python library for explorative multivariate statistics 

      Tomic, Oliver; Graff, Thomas; Liland, Kristian Hovde; Næs, Tormod (Peer reviewed; Journal article, 2019)
    • Multi-block regression based on combinations of orthogonalisation, PLS-regression and canonical correlation analysis 

      Næs, Tormod; Tomic, Oliver; Afseth, Nils Kristian; Segtnan, Vegard; Måge, Ingrid (Peer reviewed; Journal article, 2013)
    • Sequential and orthogonalized PLS (SO-PLS) regression for path analysis: Order of blocks and relations between effects 

      Næs, Tormod; Romano, Rosaria; Tomic, Oliver; Måge, Ingrid; Smilde, Age K.; Liland, Kristian Hovde (Peer reviewed; Journal article, 2020)
      This paper is about the use of the multiblock regression method sequential and orthogonalized partial least squares (SO-PLS) for path modeling. The paper is a follow up of previously published papers on the same topic and ...
    • SO-PLS as an alternative approach for handling multi-dimensionality in modelling different aspects of consumer expectations 

      Nguyen, Quoc Cuong; Liland, Kristian Hovde; Tomic, Oliver; Tarrega, Amparo; Varela-Tomasco, Paula Alejandra; Næs, Tormod (Peer reviewed; Journal article, 2020)
      In the development of sensory and consumer science, data are often collected in several blocks responding to different aspects of consumer experience. Sometimes the task of organizing the data and explaining their relation ...

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