Various approaches to infrared multicomponent quantitative analysis including K-matrix, multivariate least-squares, principal component regression (PCR), and partial least-squares (PLS) are compared. The advantages and disadvantages of each are discussed. A particular implementation of the PLS method is detailed, with emphasis on the methods provided for calibration optimization and evaluation.
MartensH.JensenS. A., in Progess in Cereal Chemistry and Technology, Vol. 5a in Proceedings, 7th World Cereal and Bread Congress, HolasJ.KratochvilJ., Eds. (Elsevier, Amsterdam, 1983).
9.
WoldS.MartensH.WoldH., Proceedings, Conference on Matrix Pencils, RuheA.KagstromB., Eds., Lecture Notes in Mathematics (Springer-Verlag, Heidelberg, 1982).
