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 Re...
AbSTRACT This research work is based on the construction of control chart for quality characteristics of Coke liquid (Sodium content, Sugar content and Volume) which may be used for control of future products of the Coca-Cola Company. Secondary data collected from Coca- Cola Company, Idokpa, Benin City Plant was analysed using Control Chart for process variability and process average. Through the application of statistical Quality Control technique, the product quality was examined and proces...
ABSTRACT In this project, Partial Least Square Regression was compared with Ordinary Least Square Regression (OLSR) to handle the problem of multicollinarity and small sample size on all Nigeria Insurance Company’s expenditure data. The prediction methods have been compared for efficiency through Root Mean Square Error (RMSE) and Mean Square Error (MSE). It is found that in this project Partial Least Square Regression (PLSR) provides better prediction as compared to the Ordinary Least Squa...
