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We have developed fast methods for reducing the dimensionality of spectral data, such as IR spectroscopy data, chromatography data, etc. In contrast to the widely known methods for projection of data with dimensionality N read counts onto spaces of lower dimensionality, having computational complexity of order N × N, proportional to the dimensionality of the covariance matrices for the data, in order...