. 2016 Nov 5;25(2):306–315. doi: 10.1016/j.jfda.2016.09.007

Table 3.

Multivariate calibration for determining of α-glucosidase inhibitory metabolites using FTIR based on OPLS technique.

Multivariate calibration	Data filter	R²Y	RMSEE	RMSE_CV
OPLS	Normal	0.344523	87.6634	100.576
	1^st derivative	0.973757	18.7113	47.2206
	2^nd derivative	0.977128	17.1745	57.2975
	3^rd derivative	0.937399	27.9516	66.2902
	MSC	0.898656	37.421	50.6524
	SNV	0.859918	42.5036	53.5465

MSC = multiplicative signal correction; OPLS = orthogonal partial least square; R²Y = regression coefficient; RMSE_CV = root mean square error of cross-validation; RMSEE = root mean square error of estimation; SNV = standard normal variant.