Experimental design principal components analysis

In the previous examples and figures we indicated that functions for two independent variables can be selected. When three (or more) independent variables occur, advanced analysis tools, such as experimental design (see Section 2.4) or principal component analysis (Jackson, 1991), are required to determine the structure of the model. 

ICP-MS, ICP- Experimental designs and principal components analysis OES, FAAS were combined to study systematic errors in each stage... 

Problem 2.12 Use of Experimental Design and Principal Components Analysis for Reduction of Number of Chromatographic Tests... 

Data handling, statistical modeling (projection of latent structures, principal components analysis), and plotting for QSAR. SIMCA-IPI for integrated process intelligence. VAX and PCs. MODDE for experimental design with multiple regression analysis and partial least squares. PCs (Windows). 

The best conditions to operate an axially viewed ICP were set employing experimental designs. The multivariate effect of carrier gas flow and RF power on several analytical figures of merit was studied. Multivariate regression and principal component analysis were used as well to model the system. 

On the other hand, atomic emission spectra are inherently well suited for multivariate analysis due to the fact that the intensity data can be easily recorded at multiple wavelengths. The only prerequisite is that the cahbration set encompasses all likely constituents encountered in the real sample matrix. Calibration data are therefore acquired by a suitable experimental design. Not surprisingly, many of the present analytical schemes are based on multivariate calibration techniques such as multiple linear regression (MLR), principal components regression (PCR), and partial least squares regression (PLS), which have emerged as attractive alternatives. 

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