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- W1972699110 abstract "Several problems with multilinear regression analysis in chemistry are discussed. These problems are connected with the establishment of scales and their inclusion in the model of significant and, as usually desired, physically or chemically meaningful descriptors. The detection of abundant and interrelated descriptors and of the presence and the mode of elimination of strongly deviating data are discussed, as well as the estimation of absent values for incomplete (considering a set of rows treated) descriptor scales. They were studied using an incomplete data matrix for 359 solvent-dependent processes and solvent parameter scales for 45 solvents. Some non-traditional problems, related to the formalism of application of the basic principles of correlation analysis, are discussed and corresponding characteristics and criteria specified. A quantitative measure of the orthogonality of correlation matrices was introduced. As a result of the realization of this approach, it was found that for multiparameter correlation analyses of the solvent-dependent processes under consideration, seven residual (i.e. free from mutual contributions) descriptors are significant and sufficient. Copyright © 2004 John Wiley & Sons, Ltd." @default.
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- W1972699110 date "2004-10-01" @default.
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- W1972699110 title "Modification of data processing and interpretation of results related to the use of multiparameter correlation analysis: introduction of additional characteristics and criteria. Part 1-Application to the treatment of solvent effects" @default.
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- W1972699110 doi "https://doi.org/10.1002/poc.754" @default.
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