which type of regression involves multiple regression features why would one need to use a latent variable for a non ordinal regression? if a latent variable is greater than all other classes of $y_i,j, then y_i,j =t$ what parameters would be expected for ordinal and probit regression how to use multivariate probit which type of function does ordinal regression use? what is the latent variable for a multivariate probit regression what is the parameter for ordinal regression what is the standard multivariate probit regression? defining the parameters of the multivariate probit equation which is a multivariate function of probit or ordinal regression what parameter is used to generate a regression with features of ordinal regression? r generates latent variables if they are greater than all other classes what is the r function for probit define probit-order regression what is the definition of multivariate probit what is the standard probit and ordinal regression what is the definition of an ordinal regression what is the parameter in the ordinal and probit regression what is the underlying problem in an ordinal regression