Table 9 Assessment of the PLS predict...

Table 9

Assessment of the PLS predict

	PLS			LM			PLS–LM
Item	RMSE	MAE	Q² predict	RMSE	MAE	Q² predict	RMSE	MAE	Q²predict
ATUDS1	0.692	0.548	0.318	0.724	0.571	0.261	−0.032	−0.023	0.057
ATUDS2	0.668	0.532	0.341	0.701	0.559	0.284	−0.033	−0.027	0.057
ATUDS3	0.705	0.556	0.299	0.739	0.580	0.245	−0.034	−0.024	0.054
INT1	0.781	0.612	0.236	0.812	0.641	0.191	−0.031	−0.029	0.045
INT2	0.756	0.598	0.251	0.789	0.625	0.204	−0.033	−0.027	0.047
INT3	0.768	0.604	0.243	0.801	0.631	0.198	−0.033	−0.027	0.045
INT4	0.742	0.589	0.264	0.775	0.616	0.217	−0.033	−0.027	0.047
INT5	0.789	0.618	0.228	0.821	0.646	0.185	−0.032	−0.028	0.043
AU1	0.812	0.637	0.214	0.845	0.662	0.172	−0.033	−0.025	0.042
AU2	0.798	0.624	0.223	0.832	0.651	0.181	−0.034	−0.027	0.042
AU3	0.826	0.649	0.207	0.859	0.674	0.166	−0.033	−0.025	0.041

	PLS			LM			PLS–LM
Item	RMSE	MAE	Q² predict	RMSE	MAE	Q² predict	RMSE	MAE	Q²predict
ATUDS1	0.692	0.548	0.318	0.724	0.571	0.261	−0.032	−0.023	0.057
ATUDS2	0.668	0.532	0.341	0.701	0.559	0.284	−0.033	−0.027	0.057
ATUDS3	0.705	0.556	0.299	0.739	0.580	0.245	−0.034	−0.024	0.054
INT1	0.781	0.612	0.236	0.812	0.641	0.191	−0.031	−0.029	0.045
INT2	0.756	0.598	0.251	0.789	0.625	0.204	−0.033	−0.027	0.047
INT3	0.768	0.604	0.243	0.801	0.631	0.198	−0.033	−0.027	0.045
INT4	0.742	0.589	0.264	0.775	0.616	0.217	−0.033	−0.027	0.047
INT5	0.789	0.618	0.228	0.821	0.646	0.185	−0.032	−0.028	0.043
AU1	0.812	0.637	0.214	0.845	0.662	0.172	−0.033	−0.025	0.042
AU2	0.798	0.624	0.223	0.832	0.651	0.181	−0.034	−0.027	0.042
AU3	0.826	0.649	0.207	0.859	0.674	0.166	−0.033	−0.025	0.041

Note(s): Abbreviations: LM, linear model generated to do model comparison; MAE, mean absolute errors; PLS, partial least-squares model proposed in the study; RMSE, root mean square error, ATUDS, attitudes towards the use of drop shipping, INT, intention to use drop shipping, AU, actual use of drop shipping

Source(s): Authors' own work

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