Tormod Næs

Tormod Næs

Affiliate Professor


Publication year:
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1 - 4 out of 4Page size: 10
  1. 2022
  2. 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

  3. 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

  4. 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

  5. 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

ID: 22958531