Table 3. The modeling results of various quality attributes for the combined meat cuts using the PLSR method

Qualities	Preprocessing methods	LVs	Calibration		Prediction
			Rc	RMSEC	Rp	RMSEP
pH	Original spectra	10	0.56	0.12	0.49	0.22
	MSC	9	0.82	0.04	0.81	0.06
	SNV	9	0.82	0.04	0.81	0.07
	1st Der	9	0.68	0.10	0.44	0.30
	2nd Der	10	0.70	0.10	0.64	0.07
	S-G smoothing	12	0.55	0.11	0.52	0.20
CIE L*	Original spectra	11	0.81	1.82	0.81	1.87
	MSC	11	0.88	1.61	0.83	1.94
	SNV	10	0.88	1.61	0.84	1.87
	1st Der	7	0.85	1.30	0.76	2.36
	2nd Der	7	0.86	1.79	0.75	2.92
	S-G smoothing	11	0.84	1.70	0.82	1.89
CIE a*	Original spectra	10	0.71	0.81	0.69	1.00
	MSC	13	0.82	0.78	0.55	0.99
	SNV	12	0.82	0.78	0.55	1.25
	1st Der	5	0.71	0.73	0.46	1.34
	2nd Der	5	0.60	1.20	0.46	1.98
	S-G smoothing	10	0.83	0.85	0.78	1.35
CIE b*	Original spectra	7	0.88	1.02	0.76	1.46
	MSC	9	0.83	0.89	0.82	1.00
	SNV	10	0.83	0.90	0.82	0.99
	1st Der	5	0.79	1.04	0.70	1.13
	2nd Der	4	0.57	1.03	0.52	1.52
	S-G smoothing	8	0.83	0.83	0.82	0.88
Cooking loss	Original spectra	10	0.85	2.71	0.76	3.09
	MSC	8	0.92	1.83	0.78	2.90
	SNV	8	0.92	1.82	0.78	2.90
	1st Der	7	0.94	1.62	0.86	1.80
	2nd Der	4	0.83	2.77	0.75	3.25
	S-G smoothing	12	0.85	2.73	0.79	3.10
Shear force	Original spectra	10	0.88	3.44	0.84	5.89
	MSC	10	0.90	2.36	0.87	3.41
	SNV	10	0.90	2.36	0.88	3.41
	1st Der	5	0.81	4.18	0.75	5.56
	2nd Der	5	0.84	3.43	0.68	6.34
	S-G smoothing	9	0.87	3.38	0.83	3.91
Protein	Original spectra	10	0.74	0.80	0.67	1.05
	MSC	10	0.84	0.65	0.83	0.80
	SNV	10	0.85	0.63	0.80	0.79
	1st Der	5	0.83	0.75	0.62	1.07
	2nd Der	6	0.62	1.00	0.52	2.18
	S-G smoothing	9	0.76	0.82	0.66	1.05
Fat	Original spectra	9	0.86	1.49	0.84	1.88
	MSC	9	0.86	1.49	0.84	1.85
	SNV	9	0.86	1.49	0.84	1.85
	1st Der	7	0.93	1.03	0.83	1.68
	2nd Der	5	0.87	1.45	0.65	2.56
	S-G smoothing	11	0.92	1.18	0.82	1.99
Moisture	Original spectra	10	0.81	1.66	0.79	2.86
	MSC	8	0.92	1.05	0.87	1.54
	SNV	8	0.92	1.05	0.86	1.55
	1st Der	7	0.88	2.75	0.61	3.09
	2nd Der	6	0.68	2.77	0.52	3.25
	S-G smoothing	12	0.79	2.73	0.75	3.65

PLSR, partial least squares regression; LVs, the number of latent variables; R_c, correlation coefficient of calibration set; RMSEC, the root mean squared error of calibration set; R_p, correlation coefficient of prediction set; RMSEP, the root mean squared error of prediction set; MSC, multiplicative scatter correction; SNV, standard normalized variate; 1st Der, first derivative; 2nd Der, second derivative; S-G, Savitzky-Golay.