With the leave-one-out cross-validation option in SPSS,the discriminant model is re-estimated as many times as there are respondents in the sample.

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With leave-one-out cross-validation, the discriminant model is re-estimated for each respondent, leaving out the current respondent being classified. So the model is re-estimated as many times as there are respondents in the sample.

With the Leave-One-Out Cross-Validation Option in SPSS,the Discriminant Model Is