Projection matrix Orthogonal projection Let E be a vector space, and S a subspace of E.
The projection matrix in fact contains rows selected from the weighted left eigenvectors of the singular value decomposition of the following matrix (generally asymmetric) Define the singular value decomposition and the critical values ...
See also: Regression, Variance, Distribution, Multiple Linear Regression, Covariance
 
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