- Fra Mardia, Kent and Bibby. Multivariate Analysis (1979). Academic Press:
Kapittel 1: Alt f?r 1.7.3.
Kapittel 2: 2.1, 2.2.1, 2.2.2. 2.5.1, 2.5.2, 2.5.3. Theorem 2.8.1 og Theorem 2.8.2.
Kapittel 3: 3.1.1, Theorem 3.2.1, Theorem 3.3.1, 3.4.1 (kun side 66), Theorem 3.4.4c, 3.5 (kun innledningen og Corollary 3.5.2.1 pluss bruk av denne formelen), 3.6.1.
Kapittel 4: 4.2.2.1.
Kapittel 6: 6.1, 6.2, 6.5 (fram til 6.5.4), 6.6 (fram til 6.6.4).
Kapittel 8: 8.1, 8.2 (bortsett fra 8.2.4), Theorem 8.3.1,
Kapittel 11: 11.1, 11.2.1, 11.2.2, Theorem 11.2.3, 11.3.1, 11.4, 11.5, 11.6.2, 11.6.3.
Kapittel 12: 12.5.6.
Kapittel 13: 13.1.1, 13.3.
Appendix: Theorem A.6.4, Corollary A.6.4.1, Theorem A.6.5, A.10.3, A.10.4.
- Hovedpunktene fra forelesningene pluss ?velsene.
- Powerpoint presentasjoner om PCA, PCR og PLS noe teori og eksempler, ligger p? nettet). Utdelt p? forelesning.
- N?s, T. and Martens, H. (1988). Principal component regression in NIR analysis: Viewpoints, background details and selection of components. Journal of Chemometrics, 2, 155-167. Utdelt p? forelesning.
- N?s, T. and Isaksson, T. (1991). Multicollinearity and the need for data reduction. NIR news, 2, 6, 10-11. Utdelt p? forelesning.
- N?s, T. and Isaksson, T. (1991). Fitting, prediction testing, cross-validation or leverage correction. NIR news, 2, 5, 10-11. Utdelt p? forelesning.
- N?s, T. and Isaksson, T. (1992). The importance of outlier detection in NIR spectroscopy. NIR news, 3, 4, 12-13. Utdelt p? forelesning.
- N?s, T. and Isaksson, T. (1992). How can outliers be detected in NIR spectroscopy? NIR news, 3, 5, 8-9. Utdelt p? forelesning.
- Isaksson, T. and N?s, T. Prinsipal komponent analyse.- en metode for ? tolke multivariate data. Notat utdelt p? forelesning.
- N?s, T., Giuliana Drava and Helena Lynch. (1998). The use of chemometrics in Food Authenticity studies. In Food Authenticy. Edited by Michele Lees. Pages 273-297. Utdelt p? forelesning.