Browsing NOFIMA vitenarkiv by Author "Tomic, Oliver"
Now showing items 1-11 of 11
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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) -
Objective measures of grape quality: From Cabernet Sauvignon grape composition to wine sensory characteristics
Niimi, Jun; Tomic, Oliver; Næs, Tormod; Bastian, Susan E.P.; Jeffrey, David W.; Nicholson, Emily L.; Maffei, Suzanne M.; Boss, Paul K. (Peer reviewed; Journal article, 2020)In an investigation of objective measures that link grape composition to wine quality, this study sought to identify Cabernet Sauvignon grape parameters that predict the sensory properties of the corresponding wines. Eleven ... -
Principal components analysis of descriptive sensory data: Reflections, challenges, and suggestions
Næs, Tormod; Tomic, Oliver; Endrizzi, Isabella; Varela, Paula (Peer reviewed; Journal article, 2021)This article presents a discussion of principal components analysis of descriptive sensory data. Focus is on standardization, many correlated variables, validation, and the use of descriptive data in preference mapping. ... -
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 ... -
Towards Understanding the Survival of Patients with High-Grade Gastroenteropancreatic Neuroendocrine Neoplasms: An Investigation of Ensemble Feature Selection in the Prediction of Overall Survival
Jenul, Anna Selina; Stokmo, Henning Langen; Schrunner, Stefan; Hjortland, Geir Olav; Rootwelt-Revheim, Mona Elisabeth; Tomic, Oliver (Journal article, 2023)Determining the most informative features for predicting the overall survival of patients diagnosed with high-grade gastroenteropancreatic neuroendocrine neoplasms is crucial to improve individual treatment plans for ... -
Why use component-based methods in sensory science?
Næs, Tormod; Varela, Paula; Castura, John C.; Bro, Rasmus; Tomic, Oliver (Peer reviewed; Journal article, 2023)This paper discusses the advantages of using so-called component-based methods in sensory science. For instance, principal component analysis (PCA) and partial least squares (PLS) regression are used widely in the field; ...