Ter Braak (1995) Prediction error in partial least squares regression: a critique on the deviation used in The Unscrambler Chemometrics and Intelligent Laboratory Systems 30:239-245 PDF Encyclopedia for Research Methods for the Social Sciences. (2003) Partial least squares regression In Lewis-Beck, M., Bryman, A., Futing, T. ^ Harald Martens, Terje Karstang, Tormod Næs (1987) Improved selectivity in spectroscopy by multivariate calibration Journal of Chemometrics 1(4):201-219 doi: 10.1002/cem.1180010403.
#The unscrambler student software
The software is used in spectroscopy (IR, NIR, Raman, etc.), chromatography, and process applications in research and non-destructive quality control systems in pharmaceutical manufacturing, sensory analysis and the chemical industry. Other techniques supported include principal component analysis (PCA), 3-way PLS, multivariate curve resolution, design of experiments, supervised classification, unsupervised classification The Unscrambler X was an early adaptation of the use of partial least squares (PLS). The software was originally developed in 1986 by Harald Martens and later by CAMO Software. The Unscrambler X is a commercial software product for multivariate data analysis, used for calibration of multivariate data which is often in the application of analytical data such as near infrared spectroscopy and Raman spectroscopy, and development of predictive models for use in real-time spectroscopic analysis of materials. Multivariate statistics, Multivariate Analysis, Design of Experiments Chemometrics, Spectroscopy, Sensory analysis
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