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The Fit Orthogonal option fits linear models that account for variability in X as well as Y.
Uses the univariate variance estimates computed from the samples of X and Y. This turns out to be the standardized first principal component. This option is not a good choice in a measurement systems application since the error variances are not likely to be proportional to the population variances.

Help created on 3/19/2020