An exercise on the application of chemometrics for data interpretation, appropriate for a quantitative analysis course, is presented. Standard chemometric techniques such as principal component analysis and cluster analysis were applied to a multivariate data set of 14 river sediments samples containing ten heavy metals. The exercise was carried out by the students of a quantitative analysis class. The exercise allowed the students to develop the basic skills regarding how to extract meaningful information from experimental data.
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Robert A. Cazar (2003) studied this question.
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