Data - Nominal Logistic Regression
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Your data may be arranged in one of two ways: as raw data or as frequency data. See Entering data for response variables.

Factors, covariates, and response data can be numeric, text, or date/time. The reference level and the reference event depend on the data type. See Setting reference levels and reference events for details.

The predictors may either be factors (nominal variables) or covariates (continuous variables). Factors may be crossed or nested. Covariates may be crossed with each other or with factors, or nested within factors.

The model can include up to 9 factors and 50 covariates. Unless you specify a predictor in the model as a factor, the predictor is assumed to be a covariate. Model continuous predictors as covariates and categorical predictors as factors. See Specifying the model.

Minitab automatically omits observations with missing values from all calculations.