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The usual bivariate Kendall's tau estimates the probability of concordance of point pairs minus the probability of discordance. This paper presents a multivariate generalization of this idea. The multivariate versions can be used to investigate dimensions (in the multicollinearity spirit) in the data. Examples are given.
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