Ordered Logistic and Probit Regression 

"Both ordered logistic and probit regression are very similar to each other. It can be used when the respose variable is ordered / ranked."

Ordered Probit / Logit regression can be implemented using the polr() function in MASS package. Some examples of ordered response variable could be ‘size’, ‘ranks’, ‘ratings’ etc.

library (MASS)
orderedLogitModel <- polr (orderedResponse ~ pred1 + pred2 + pred3, data=inputData, Hess=TRUE)  # ordered logit
summary (orderedLogitModel)  # view a summary of the model
orderedProbitModel <- polr (orderedResponse ~ pred1 + pred2 + pred3, data=inputData,  method="probit")  # ordered probit
predict (orderedLogitModel, newData, type = "p")  # predict on new data 


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