. 2016 Oct 9;16(10):1654. doi: 10.3390/s16101654

Table 4.

Statistical parameters obtained for the PLS-1 regression model established between the chemical parameters and the voltammetric (e-tongue), CIELab and Raman responses towards nalewka liqueurs.

Voltammetric Outputs
Parameters	R²_C^(a)	RMSE_C^(b)	R²_P^(c)	RMSE_P^(d)	Latent Variables
Polyphenolic content (Folin–Ciocalteu method)	0.976744	29.75508	0.939679	47.74666	4
Density	0.925237	0.001112	0.878397	0.001751	4
CIELab Outputs
Parameters	R²_C^(a)	RMSE_C^(b)	R²_P^(c)	RMSE_P^(d)	Latent Variables
Polyphenolic content (Folin–Ciocalteu method)	0.996525	8.180929	0.994252	11.27284	3
Density	0.879691	0.001410	0.807301	0.001912	3
Raman Outputs
Parameters	R²_C^(a)	RMSE_C^(b)	R²_P^(c)	RMSE_P^(d)	Latent Variables
Polyphenolic content (Folin–Ciocalteu method)	0.906231	42.49629	0.793365	67.59048	6
Density	0.962399	0.000788	0.856644	0.001650	3

^(a) Squared correlation coefficient in calibration; ^(b) Root mean square error of calibration; ^(c) Squared correlation coefficient in prediction; ^(d) Root mean square error of prediction.