Rotated eigenvalues in oblique factor analysis??

[Stats Q]

Hi all,
 
Is there a reason why oblique factor analysis (direct oblim) doesn't produce rotated eigenvalues? Is there a way I can get SPSS to produce them?
 
When components are correlated like in oblim, sums of squared loadings isn't computed to get a total variance and the rotated eigenvalues output usually comes off with this part of the output (in orthogonal varimax).
 
Thanks
KS
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