We use a finite projective geometric approach to investigate the issue of m
aximum estimation capacity in regular fractions of mixed factorials, recogn
izing the fact that not all. two-factor interactions may have equal importa
nce in such a set-up. Our results provide further statistical justification
for the popular criterion of minimum aberration as applied to mixed factor
ials.