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Multivariate linear discriminant analysis was used to evaluate the ability of the FTSST, DGI, and ABC to predict group membership (control subjects versus subjects with balance or vestibular disorders). We used principal component analysis and linear discriminant analysis to identify blood and/or urinary Cu indicators that showed a differential response to copper. This method of linear discriminant analysis cannot be adequate when the true class boundaries are nonlinear. |
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