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Ordinal (ordered) logistic regression model. Used to model an ordered response â for example, low, medium, or high. Might also be called the ordinal multinomial logit model. Ordinal logistic models take into account the ordered nature of the response, which can result in simple, more powerful models.
Logistic Regression (R). Logistic Regression is a type of classification model. In classification models, we attempt to predict the outcome of categorical dependent variables, using one or more independent variables. The independent variables can be either categorical or numerical..e., the probability that the dependent variable is of class 1, given the independent variables. For this tutorial, we will be performing logistic regression on the âAdultâ dataset. I have previously explained the data preparation and transformations that I use for this dataset in this tutorial.