Results of PLSR models using the full spectrum for starch content prediction^a.

Pretreatment method	Parameter	Calibration set		Prediction set
		R c	RMSEC	R p	RMSEP	RPD
SNV	N = 428, LVs = 7	0.9020	2.06	0.9069	2.06	2.33
MSC	N = 428, LVs = 3	0.8641	2.38	0.8572	2.44	1.97
SG	N = 428, LVs = 6	0.8689	2.46	0.8796	2.26	2.13
SG-SNV	N = 428, LVs = 3	0.8685	2.36	0.8624	2.4	2.00
SG-MSC	N = 428, LVs = 3	0.8651	2.37	0.861	2.41	2.00

^a N: number of spectral variables; LVs: number of latent variables; R_c: correlation coefficient in calibration; RMSEC: root mean square errors in calibration; R_p: correlation coefficient in prediction; RMSEP: root mean square errors in prediction; RPD: residual predictive deviation in prediction set.