sametsoekel/eXtreme-Least-Squares: A Modeling Approach that Optimizes Future Errors in Least Squares

Given the date column as an ascending entry, future errors are included in the sum of squares of error that should be minimized based on the number of steps and weights you determine. Thus, it is prevented that the variables affect each other's coefficients unrealistically.

Getting started

Package details

MaintainerSamet Sokel <a_s@eskisehir.edu.tr>
LicenseGPL (>= 3)
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("sametsoekel/eXtreme-Least-Squares")
sametsoekel/eXtreme-Least-Squares documentation built on April 3, 2022, 12:08 a.m.