María Paz Gómez-Carracedo

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Most analytical chemists are well acquainted with collecting multivariate data and analyzing them by basic tools provided in standard chemometric software. But sometimes this is not enough to extract the desired information. Two typical cases are when data sets need to be compared or when a subset of the measured variables shall be ranked. Both these cases(More)
Many analytical problems involve measurement of a large number of experimental variables on a set of samples. Unfortunately, some of them can deteriorate the performance of classification models because not all variables yield the same quality and quantity of information. In this paper four strategies to perform variable selection in mid-infrared spectral(More)
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