I have a dataset with n records. The input features are f1, f2, f3 ... fm, and the dependent variable (output) is just the rank (not any type of scores).
What type of model should I build so that I can use the model to predict the rank of a new dataset? I suppose I could build a linear regression by assuming the dependent variable is just the rank (i.e. score = rank), but I am wondering if there is a better model or approach for this problem. Thanks!