Pablo

Yes, allometry will persist in most data sets (i.e., if there is a 
sufficient range of variation in size).

Geometric morphometrics (landmark-based and outline-based alike) uses 
a strictly geometric definition of shape. These methods apply a 
scaling to remove variation of size (e.g., scaling to unit centroid 
size), but this will not remove the allometric effects of size on 
shape.

This geometric scaling is the same as what's used in photography: 
pictures of babies and grown-ups are scaled until they fit the 
9-by-13 cm picture format. But of course you will still be able to 
tell that the baby is smaller that the grown-up because we know the 
association between the shape of a person and their size.

If you want to do an analysis, for example, distinguishing between 
two groups with a substantial amount of size variation, you may still 
need to apply some form of "size correction" to your shape data to 
remove the allometric effects on shape variation.

Normally, you will do the size correction by using the residuals from 
a multivariate regression of shape on size. Depending on how 
different the allometries within your groups are, this might be a bit 
tricky. The solution will depend on your specific problem.

I hope this helps.

Best wishes,
Chris

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Christian Peter Klingenberg
School of Biological Sciences
University of Manchester
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