Abstract: Some problems arise in analyzing massive complex data consisting of multivariate response variables and a large number of multicollinear predictor variables, especially when the sample sizes ...

Want to master data fitting in Python? 📊🐍 In this video, we’ll walk you through using the least squares method to fit data and graph it using Python. Perfect for data science and stats enthusiasts! ...

If you find yourself looking for a bit of extra fun during the Super Bowl, you’re going to want to keep an eye out for a squares game. Featuring a 100-square grid, with each square serving as a ...

1 School of Computer, Jiangxi University of Chinese Medicine, Nanchang, China 2 National Pharmaceutical Engineering Center for Preparation of Chinese Herbal Medicine, Jiangxi University of Chinese ...

In the world of statistics and data analysis, one of the most common tasks is determining how two variables are related. The least squares regression line is a powerful tool used to quantify this ...

Several examples of multivariate techniques implemented in R, Python, and SAS. Multivariate concrete dataset retrieved from https://archive.ics.uci.edu/ml/datasets ...

Algorithmic framework for measuring feature importance, outlier detection, model applicability evaluation, and ensemble predictive modeling with (sparse) partial least squares regressions.