Abstract
Principal component analysis and evolving factor analysis were applied to the study of the speciation of Cu (II)/ethylenediamine/ oxalate. Two programs were designed, based on mathematical algorithms. Error functions were calculated for evaluating the number of species. Submatrix analysis plots were constructed to estimate the species present in the system. The method should prove useful in studies of complex systems in environmental samples.
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