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 rate	Mean squared prediction error (MSPE)		Predictive error sum of squares (PRESS)
	Quadratic PLS	Robust quadratic PLS	Quadratic PLS	Robust quadratic PLS
5%	103.07	12.83	100.9	89
10%	110.42	60.9	108.75	17.15
15%	119.08	4.32	117.37	17.15