This work provides an integrated treatment of multivariate approximation methods used in quantitative spectral analysis, focusing on the multicollinearity problem of spectral measurements. It shows how to assess the degree of multicollinearity in a set of spectra and introduces techniques that yield accurate approximations even in the presence of poor spectral orthogonality.
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John H. Kalivas is an Associate Professor in the Department of Chemistry at Idaho State University, Pocatello.
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