Determination of optimum number of components in partial least squares regression from distributions of the root‐mean‐squared error obtained by Monte Carlo resampling
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DOI: 10.1002/cem.2993
Abstract: Monte Carlo resampling is utilized to determine the number of components in partial least squares (PLS) regression. The data are randomly and repeatedly divided into calibration and validation samples. For each repetition, the root‐mean‐squared error… read more here.
Keywords: rmse; monte carlo; carlo resampling; optimum number ... See more keywords