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Canonical correlation
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===Solution=== The solution is therefore: * <math>c</math> is an eigenvector of <math>\Sigma_{XX}^{-1/2} \Sigma_{XY} \Sigma_{YY}^{-1} \Sigma_{YX} \Sigma_{XX}^{-1/2}</math> * <math>d</math> is proportional to <math>\Sigma _{YY}^{-1/2} \Sigma_{YX} \Sigma_{XX}^{-1/2} c</math> Reciprocally, there is also: * <math>d</math> is an eigenvector of <math>\Sigma_{YY}^{-1/2} \Sigma_{YX} \Sigma_{XX}^{-1} \Sigma_{XY} \Sigma_{YY}^{-1/2}</math> * <math>c</math> is proportional to <math>\Sigma_{XX}^{-1/2} \Sigma_{XY} \Sigma_{YY}^{-1/2} d</math> Reversing the change of coordinates, we have that * <math>a</math> is an eigenvector of <math>\Sigma_{XX}^{-1} \Sigma_{XY} \Sigma_{YY}^{-1} \Sigma_{YX}</math>, * <math>b</math> is proportional to <math>\Sigma_{YY}^{-1} \Sigma_{YX} a;</math> * <math>b</math> is an eigenvector of <math>\Sigma _{YY}^{-1} \Sigma_{YX} \Sigma_{XX}^{-1} \Sigma_{XY},</math> * <math>a</math> is proportional to <math>\Sigma_{XX}^{-1} \Sigma_{XY} b</math>. The canonical variables are defined by: :<math>U = c^T \Sigma_{XX}^{-1/2} X = a^T X</math> :<math>V = d^T \Sigma_{YY}^{-1/2} Y = b^T Y</math>
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