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  • principal component regression
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  • Tina Hernandez-Boussard
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  • The Principal Component Regression method is a regression analysis method that combines the Principal Component Analysis (PCA)spectral decomposition with an Inverse Least Squares (ILS) regression method to create a quantitative model for complex samples. Unlike quantitation methods based directly on Beer's Law which attempt to calculate the absorbtivity coefficients for the constituents of interest from a direct regression of the constituent concentrations onto the spectroscopic responses, the PCR method regresses the concentrations on the PCA scores.
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  • WEB: : http://www.thermo.com/com/cda/resources/resources_detail/1,2166,13414,00.html
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  • principal component regression
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