Abstract
An algorithm for peak purity analysis based on the Gram-Schmidt orthogonalization method is described. The data are pretreated by using two different normalization techniques. The performance of this approach is investigated for liquid chromatography with photodiode-array detection (LC-DAD) data. The results are compared with the ones obtained by means of fixed size window evolving factor analysis (FSW EFA). The effects of heteroscedasticity and non linearities are discussed.
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