two methods were tested: stepwise multiple linear regression (SMLR) and random forest algorithm (RF). The SMLR was generated through SigmaPlot software, backward method, in which the least important ...

The heplots package provides functions for visualizing hypothesis tests in multivariate linear models (“MLM” = {MANOVA, multivariate multiple regression ... variables in repeated measures designs).

Abstract: To optimize the current-control performance of the linear permanent magnet synchronous motor (LPMSM) drive system, a robust continuous time model-based predictive control for the LPMSM drive ...

On Tuesday at Google I/O 2025, the company announced Deep Think, an “enhanced” reasoning mode for its flagship Gemini 2.5 Pro model. Deep Think allows the model to consider multiple answers to ...

here’s everything you need to know about Splitgate 2’s Open Beta, including the start date and content. The Splitgate 2 beta goes live on Thursday, May 22, at 9 AM PT / 12 PM ET / 5 PM BST.

Predicting car prices using multiple linear regression. This project uses real-world automotive data to train a machine learning model capable of estimating car prices based on technical ...

Abstract: Finite control set ... novel predictive model and VCS that uses the three-phase duty cycles as the key variable are constructed. Finally, the proposed strategy determines the three-phase ...

provides a measure of multicollinearity among the independent variables in a multiple regression model. Detecting multicollinearity is important because while multicollinearity does not reduce the ...