Table 2.

Calibration and cross-validation statistics for breast milk samples using partial least squares regression.

Math Pre-Treatment	Parameter	R2	SEC	r2	SECV
0 0 0 0	Fat	0.910	0.37	0.841	0.51
	CP	0.782	0.19	0.508	0.30
	RP	0.797	0.14	0.512	0.21
	HC	0.874	0.91	0.741	1.35
	Energy	0.922	6.17	0.791	10.39
	TS	0.787	1.86	0.686	2.42
SNV 0 2 2 2	Fat	0.876	0.44	0.795	0.58
	CP	0.725	0.25	0.498	0.35
	RP	0.580	0.22	0.411	0.27
	HC	0.860	0.94	0.593	1.65
	Energy	0.835	8.96	0.756	11.32
	TS	0.709	2.13	0.529	2.77
SNV 1 2 2 2	Fat	0.826	0.52	0.779	0.61
	CP	0.796	0.22	0.524	0.36
	RP	0.787	0.16	0.482	0.25
	HC	0.894	0.83	0.699	1.42
	Energy	0.927	5.94	0.830	9.60
	TS	0.929	1.07	0.685	2.20

SNV: standard normal variate, N1N2N3N4: Savitzky-Golay derivative order, polynomial order of derivative, left, and right intervals for the derivative smoothing; R²: coefficient of determination for calibration, SEC: standard error of calibration, r²: coefficient of determination for cross-validation, SECV: standard error of cross-validation, RP: raw protein, CP: crude protein, CH: carbohydrates, TS: total solids.