Practical Guide To Chemometrics
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Offers an introduction to application-oriented multivariate methods of data analysis and procedures for solving a variety of problems using analytical chemistry and statistics. This work features chapters on principal component analysis, self-modeling curve resolution, and multi-way analysis methods.
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