Linear regression is a popular and powerful technique for modeling the relationship between a dependent variable and one or more independent variables. However, it is also sensitive to outliers ...

This repository showcases several projects that explore how transformations can improve regression ... a simple linear model might fall short, how diagnostic checks guide the choice of transformation, ...

However, the lack of crucial log data, such as neutron and sonic logs, makes coalbed methane exploration difficult. In this paper, we propose a principal component regression model incorporating ...