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                    Figure 6: Individuals’ representation of the considered sighthound samples using PCA.


        The graphical representation of individuals using the PCA (Figure 6) shows that individuals
        from different zones are grouped according to their body measurements similarities and not
        according to their body coat colors, their sex, or their zones.



        Using the results of Principal Component Analysis the authors infer the presence of two
        different classes of animals in the studied sample set; these classes are morphometrically
        heterogeneous which reflects a high rate of variability.
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