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Multivariate techniques such as 24 factorial and Box Behnken designs were used for the optimization of experimental parameters.

For example, multivariate techniques such as Principal Component Analysis (PCA) can be skewed in favor of chemicals that produce more ion signals.

Multivariate techniques such as principal component analysis, factor analysis, multiple linear regression analysis, and artificial neural network analysis were applied to the contents of different organic acids.

Alternative methods for quality control in the petroleum industry have been obtained using Near-infrared Spectroscopy (NIRS) combined with multivariate techniques such as PLS (Partial Least-Square).

The complex data matrix (17,790 observations) was treated with different multivariate techniques such as cluster analysis, factor analysis/principal component analysis (FA/PCA) and discriminant analysis (DA).

When a quantitative phenotype such as growth rate under stress is considered, regression modeling using multivariate techniques such as partial least squares (PLS) is often used to identify metabolites correlated with the target phenotype.

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This tagger not only contains the usual advantages of a multivariate technique such as maximal use of information in a jet and tunable purity/efficiency operating points, but is also capable of evaluating jets with only a single track.

This problem was solved using multivariate regression techniques such as partial least squares (PLS).

In this present study, multivariate statistical techniques such as CA, PCA and FA were applied to the interpretation of complex data matrices to better understand the water quality.

For this purpose, spectrophotometric data have been analysed by multivariate analysis techniques such as Principal Component Analysis and Hierarchic Cluster Analysis.

(As, Cd, Cr, Cu, Fe, Mn, Ni, Pb and Zn) by hydrochemical and multivariate statistical techniques, such as cluster analysis (CA) and principal component analysis (PCA).

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