:> 'rank-transformation' to the data; and whether that is :> desirable or useful or damaging.
: By that you are turning scores into ranks? You *have* to do that when the : data is non-linear is my guess. Then you put it into a formula designed to : work with ranks. Otherwise what you get out has no meaning. Hi! Ranks or raw - the problem of non-linearity remains the same. Examine the biplot scatter visually and put a lowess the to help to see how the relationship deviates from a linear one. It often helps. BTW ranks and raw correlate in my experience often above .9 - even close to unity when there are lots of ties. Erkki _________________________________________________________________ <http://www.helsinki.fi.invalid/people/Erkki.Komulainen/> . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
