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t det( R ( ( sE /usr/lib64/python2.6/site-packages/numpy/oldnumeric/linear_algebra.pyR > s c C s t i | | | ƒ S( sû returns x,resids,rank,s
where x minimizes 2-norm(|b - Ax|)
resids is the sum square residuals
rank is the rank of A
s is the rank of the singular values of A in descending order
If b is a matrix then x is also a matrix with corresponding columns.
If the rank of A is less than the number of columns of A or greater than
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otherwise resids = sum((b-dot(A,x)**2).
Singular values less than s[0]*rcond are treated as zero.
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