MMER is a Python package for multivariate mixed-effects regression featuring a modular fixed-effects component. It supports parametric and non-parametric machine learning regressors (neural networks, ...

Abstract: This paper presents a hybrid data-driven approach to analyze passenger choice on available public transport routes using multivariate regression techniques. By integrating diverse data ...

1 School of Aeronautics and Astronautics, Sun Yat-sen University, Guangzhou, China. 2 School of Science and Technology, Hunan University of Technology, Zhuzhou, China. To address the multicoupling ...

ABSTRACT: This article critically assessed the validity of five multiple linear regression models across three separate studies. The first examined the cytotoxic properties of ...

Learn how to build a multivariate linear regression model step by step—no libraries, just pure C++ logic! White House reacts after intel assessment contradicts Trump on Iran strikes How to Find Hidden ...

In this repository, using the statistical software R, are been analyzed robust techniques to estimate multivariate linear regression in presence of outliers, using the Bootstrap, a simulation method ...

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

Abstract: Conventional regression methods, such as multivariate linear regression (MLR) and its extension principal component regression (PCR), deal well with the situations that the data are of the ...