👉 In statistics and machine learning, an "egression" refers to a statistical model where each predictor variable is associated with a non-linear relationship with the response variable. The goal of such models is typically to predict a continuous value based on multiple predictor variables. For example, in regression analysis, one might try to predict the outcome from a set of predictor variables using a linear or polynomial function that takes into account their nonlinear relationships.
