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Canonical Correlation Analysis as Reduced Rank Regression in High Dimensions
Canonical correlation analysis is a widespread technique for discovering linear relationships between two sets of variables. In high dimensions, however, standard estimates of the canonical directions cease to be consistent without assuming further structure. In this setting, a possible solution con
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