Response variable selection arises naturally in many applications, but has not been studied as thoroughly as predictor variable selection. In this paper, we discuss response variable selection in both ...

Edmilson Rodrigues Pinto, Leandro Alves Pereira, On variable selection in joint modeling of mean and dispersion, Brazilian Journal of Probability and Statistics, Vol. 35, No. 4 (2021), pp. 875-894 ...

This tells R to find the best model in which the response variable y is a linear function of a set of explanatory variables x1, x2, and so on. I will start with a model I call “model.ks” (to denote an ...

The purpose of this tutorial is to continue our exploration of multivariate statistics by conducting a simple (one explanatory variable) linear regression analysis. We will continue to use the ...

Linear regression and feature selection are two such foundational topics. Linear regression is a powerful technique for predicting numbers from other data.