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Figure . . Variable and unit representations ater the deletion of the less important units
In exploratory MDA, to evaluate the influence of anomalous observations, statis-
ticians remove units having the greatest contributions and, projecting these as sup-
plementary points, compare the two-point configurations.
High-contribution unitsarethenmadesupplementary usingthedeletion tooland
the resulting planes are shown in Fig. . .
Itisevident that aremarkable change occurred:whilethe variables preserves their
position on thefirstaxis with respecttoFig. . ,they moveonthe second factor,that
is, they are more influenced by anomalous observations.
he user can reiterate the point deletion step or, if the point configuration is be-
lieved to be su ciently stable, go to the analysis of the classification step.
Figure . . Units with a contribution
% (SHIW data)
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