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Principal component analysis is one of the most commonly used multivariate tools to describe and summarize data. Determining the optimal number of components in a principal component model is a fundamental problem in many fields of application. In this paper, we compare the performance of several methods developed for this task in different areas of research. We consider statistical methods based...
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