Tormod Næs
Affiliate Professor
Food Analytics and Biotechnology
Rolighedsvej 26
1958 Frederiksberg C
- 2023
- Published
Why use component-based methods in sensory science?
Næs, Tormod, Varela, P., Castura, J. C., Bro, Rasmus & Tomic, O., 2023, In: Food Quality and Preference. 112, 18 p., 105028.Research output: Contribution to journal › Journal article › Research › peer-review
- 2022
- Published
Analysing multivariate storage data of seafood spreads. A case study based on combining split-plot design, principal component analysis and partial least squares predictions
Sivertsen, E., Thyholt, K., Rustad, T., Slizyte, R., Josefsen, K. D., Haugen, E. J., Johansen, A. T., Schei, M. & Næs, Tormod, 2022, In: Food Control. 131, 12 p., 108385.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Clustering consumers based on product discrimination in check-all-that-apply (CATA) data
Castura, J. C., Meyners, M., Varela, P. & Næs, Tormod, 2022, In: Food Quality and Preference. 99, 15 p., 104564.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Comparison of different ways of handling L-shaped data for integrating sensory and consumer information
Asioli, D., Nguyen, Q. C., Varela, P. & Næs, Tormod, 2022, In: Food Quality and Preference. 96, 10 p., 104426.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Discriminability and uncertainty in principal component analysis (PCA) of temporal check-all-that-apply (TCATA) data
Castura, J. C., Rutledge, D. N., Ross, C. F. & Næs, Tormod, 2022, In: Food Quality and Preference. 96, 11 p., 104370.Research output: Contribution to journal › Journal article › Research › peer-review
- 2021
- Published
Making sense of multiple distance matrices through common and distinct components
Solberg, L. E., Dahl, T. & Næs, Tormod, 2021, In: Journal of Chemometrics. 35, 11, 24 p., 3372.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Principal components analysis of descriptive sensory data: Reflections, challenges, and suggestions
Næs, Tormod, Tomic, O., Endrizzi, I. & Varela, P., 2021, In: Journal of Sensory Studies. 36, 5, 18 p., e12692.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
The influence of label information on the snacks parents choose for their children: Individual differences in a choice based conjoint test
Velázquez, A. L., Alcaire, F., Vidal, L., Varela, P., Næs, Tormod & Ares, G., 2021, In: Food Quality and Preference. 94, 9 p., 104296.Research output: Contribution to journal › Journal article › Research › peer-review
- 2020
- Published
Exploring the common and unique variability in TDS and TCATA data: a comparison using canonical correlation and orthogonalization
Berget, I., Castura, J. C., Ares, G., Næs, Tormod & Varela, P., 2020, In: Food Quality and Preference. 79, 14 p., 103790.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Portion size selection as related to product and consumer characteristics studied by PLS path modelling
Nguyen, Q. C., Næs, Tormod, Almøy, T. & Varela, P., 2020, In: Food Quality and Preference. 79, 10 p., 103613.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 22958531
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Reduced risk of pre-eclampsia with organic vegetable consumption: results from the prospective Norwegian Mother and Child Cohort Study
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159
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Influence of technology and ripening on textural and sensory properties of vacuum packaged ewe's cheese
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129
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Young consumers’ preferences for water-saving wines: an experimental study
Research output: Contribution to journal › Journal article › Research › peer-review
Published