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DOC fix rst link
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sklearn/cross_decomposition/pls_.py

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@@ -545,7 +545,9 @@ class PLSRegression(_PLS):
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where Xk and Yk are residual matrices at iteration k.
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`Slides explaining PLS <http://www.eigenvector.com/Docs/Wise_pls_properties.pdf>`
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`Slides explaining
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PLS <http://www.eigenvector.com/Docs/Wise_pls_properties.pdf>`_
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For each component k, find weights u, v that optimizes:
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``max corr(Xk u, Yk v) * std(Xk u) std(Yk u)``, such that ``|u| = 1``
@@ -682,7 +684,8 @@ class PLSCanonical(_PLS):
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where Xk and Yk are residual matrices at iteration k.
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`Slides explaining PLS <http://www.eigenvector.com/Docs/Wise_pls_properties.pdf>`
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`Slides explaining PLS
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<http://www.eigenvector.com/Docs/Wise_pls_properties.pdf>`_
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For each component k, find weights u, v that optimize::
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