| Model and estimators for partial least squares regression IS Helland, S Sæbø, T Almøy, R Rimal Journal of Chemometrics 32 (9), e3044, 2018 | 21 | 2018 |
| Comparison of multi-response prediction methods R Rimal, T Almøy, S Sæbø Chemometrics and Intelligent Laboratory Systems 190, 10-21, 2019 | 8 | 2019 |
| Evaluation of models for predicting the average monthly Euro versus Norwegian krone exchange rate from financial and commodity information R Rimal Norwegian University of Life Sciences, Ås, 2015 | 5 | 2015 |
| A tool for simulating multi-response linear model data R Rimal, T Almøy, S Sæbø Chemometrics and Intelligent Laboratory Systems 176, 1-10, 2018 | 4 | 2018 |
| Comparison of multi-response estimation methods R Rimal, T Almøy, S Sæbø Chemometrics and Intelligent Laboratory Systems 205, 104093, 2020 | 1 | 2020 |
| Exploration of multi-response multivariate methods R Rimal Norwegian University of Life Sciences, Ås, 2019 | | 2019 |
| A comparetive study on PCR, PLS, Envelope and BayesPLS models R Rimal | | 2016 |
| Long-term trends in melanoma tumour thickness in Norway R Rimal | | |
| A versatile tool for simulating linear model data R Rimal, T Almøy, S Sæbø | | |
| Model and estimators for partial least squares regression. Running title: Model and estimators for PLS. IS Helland, S Sæbø, T Almøy, R Rimal | | |
Solve SæbøProfessor in statistics, Norwegian University of Life ScienceVerified email at nmbu.no
