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The simulation of multivariate data is often necessary for assessing the performance of multivariate analysis techniques. The random generation of multivariate data when the covariance matrix is completely or partly specified is solved by different methods, from the Cholesky decomposition to some recent alternatives. However, many times the covariance matrix has to be generated also at random, so...
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