Reduced Rank Ridge Regression and Its Kernel Extensions
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In multivariate linear regression, it is often assumed that the response matrix is intrinsically of lower rank. This could be because of the correlation structure among the prediction variables or the coefficient matrix being lower rank. To accommodate both, w... ...
