Journal of Applied Mathematics / 2018 / Article / Tab 3

Research Article

Robust Nonlinear Partial Least Squares Regression Using the BACON Algorithm

Table 3

Comparison between optimal mean squared prediction error and predictive error sum of squares of proposed quadratic algorithm and original one for simulated dataset with three contamination rates (5%, 10%, and 15%).

Contamination rateMean squared prediction error (MSPE)Predictive error sum of squares (PRESS)
Quadratic PLSRobust quadratic PLSQuadratic PLSRobust quadratic PLS

5%103.0712.83100.989
10%110.4260.9108.7517.15
15%119.084.32117.3717.15

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