In multivariate data analysis, regression techniques predict one set of variables from another while principal component analysis (PCA) finds a subspace of minimal dimensionality that captures the largest variability in the data. How can regression analysis and PCA be combined in a beneficial way? Why and when is it a good idea to combine them? Wha
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Format PDF ● Pages 251 ● ISBN 9781466556683 ● Publisher CRC Press ● Published 2016 ● Downloadable 6 times ● Currency EUR ● ID 2829804 ● Copy protection Adobe DRM
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