Table 3.
Statistical parameters obtained for the N-PLS regression model established between the chemical parameters and the mass responses of the sensors towards musts.
| Mass Outputs | |||||
|---|---|---|---|---|---|
| Parameters | R2C (a) | RMSEC (b) | R2P (c) | RMSEP (d) | Number of Components |
| Sugar content | 0.941 | 4.45005 | 0.839 | 7.31293 | 4 |
| Brix degree | 0.972 | 0.00176 | 0.865 | 0.00291 | 4 |
| Degree 16.8 | 0.941 | 0.26438 | 0.840 | 0.43420 | 4 |
| TPI | 0.961 | 1.02511 | 0.845 | 2.04940 | 5 |
| Polyphenolic content | 0.965 | 1.91428 | 0.921 | 3.0353 | 5 |
| Folin-Ciocalteau method | |||||
(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.