Abstract
Based on presentation of the principles of nonorthogonal problem, we discuss the difference of some approaches. A simple procedure to include the R-squared and Root Mean Square Error (R.M.S.E) is proposed and tested. The results showed that the Partial Least Square Regression provides better predictions due to a small R.M.S.E value.
Keyword. Nonorthogonal, Mean Square, Partial Least Square, R Square.
Table of Content
1.0 Introduction
2.0 The Ordinary Least Square Model
2.3 Ridge Regression (RR).
3.0 Result and Discussion
3.1 Illustrative Example
4.0 Conclusion
4.1 Recommendation
Reference