Jeff Trull 9f0c5c3669 Make sparse QR result sizes consistent with dense QR, with the following rules:
1) Q is always square
2) Q*R*P' is valid and recovers the original matrix

This implies that the size of Q is the number of rows in the original matrix, square,
and that the size of R is the size of the original matrix.
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LU
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QR
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SVD
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