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Wold, S., Kettaneh, N. and Tjessem, K. (1996) Hierarchical Multiblock PLS and PC Models for Easier Model Interpretation and as an Alternative to Variable Selection. Journal of Chemometrics, 10, 463-482.
http://dx.doi.org/10.1002/(SICI)1099-128X(199609)10:5/6<463::AID-CEM445>3.0.CO;2-L

has been cited by the following article:

• TITLE: Quantitative Analysis of Lavender (Lavandula angustifolia) Essential Oil Using Multiblock Data from Infrared Spectroscopy

  AUTHORS: Nathalie Dupuy, Vincent Gaydou, Jacky Kister

  KEYWORDS: Multiblock Regression, Lavandula angustifolia, Lavender Essential Oil, NIR, MIR, H-PLS, MB-PLS

  JOURNAL NAME: American Journal of Analytical Chemistry, Vol.5 No.10, July 17, 2014

  ABSTRACT: Near-infrared and mid-infrared spectroscopies were currently used to analyze natural compounds. During the last ten years various multiblocks methods were developed such as Concatenated PLS, Hierarchical-PLS (H-PLS), and MultiBlock-PLS (MB-PLS). These three algorithms were used to analyze 55 lavender (Lavandula angustifolia) essential oil samples. The results obtained were compared to the ones obtained respectively in NIR and MIR ranges. The accuracies of the models depend on the spectroscopic technique, pretreatment and the PLS methods. The results showed that the choice of the factor numbers used to build the multiblock models was the most important parameter for the H-PLS and MB-PLS methods.