Canonical Discriminant Analysis

A form of analysis that is particularly valuable is canonical DA. Table 9 shows canonical DA applied to the five kinds of rye bread referred to earlier. The values above the diagonal give the interspatial distance. The values below the line give the multivariate F-value. All are significant. If some are significant and some not significant, it is more informative in that case to give the probability values that go with the F-values. When all are significant, differences between products are easier to discern from the F-values themselves. In determining interspatial relations, canonical DA is preferable to PCA because canonical analysis allows the setting of statistical limits.

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