Table 4 PLSpredict assessment of...

Table 4

PLSpredict assessment of indicators in the direct model

PLSpredict assessment of indicators in the direct model
	PLS			LM			PLS – LM
Indicator	RMSE	MAE	Q²predict	RMSE	MAE	Q²predict	RMSE	MAE	Q²predict
CR1	0.826	0.607	0.561	0.832	0.606	0.555	−0.006	0.001	0.007
CR2	1.045	0.736	0.321	1.047	0.774	0.318	−0.002	−0.038	0.003
CR3	0.885	0.654	0.473	0.923	0.681	0.427	−0.037	−0.028	0.046
CR4	0.774	0.566	0.440	0.807	0.594	0.390	−0.033	−0.028	0.049
CR5	1.069	0.824	0.448	1.089	0.815	0.427	−0.020	0.009	0.021
PR1	0.926	0.717	0.537	0.932	0.725	0.531	−0.006	−0.008	0.006
PR2	0.943	0.723	0.506	0.932	0.727	0.517	0.011	−0.003	−0.011
PR3	0.856	0.652	0.442	0.891	0.676	0.395	−0.035	−0.023	0.047
PR4	0.907	0.696	0.379	0.948	0.714	0.321	−0.042	−0.018	0.058
PR5	0.986	0.762	0.434	0.983	0.784	0.438	0.003	−0.023	−0.004

PLSpredict assessment of indicators in the direct model
	PLS			LM			PLS – LM
Indicator	RMSE	MAE	Q²predict	RMSE	MAE	Q²predict	RMSE	MAE	Q²predict
CR1	0.826	0.607	0.561	0.832	0.606	0.555	−0.006	0.001	0.007
CR2	1.045	0.736	0.321	1.047	0.774	0.318	−0.002	−0.038	0.003
CR3	0.885	0.654	0.473	0.923	0.681	0.427	−0.037	−0.028	0.046
CR4	0.774	0.566	0.440	0.807	0.594	0.390	−0.033	−0.028	0.049
CR5	1.069	0.824	0.448	1.089	0.815	0.427	−0.020	0.009	0.021
PR1	0.926	0.717	0.537	0.932	0.725	0.531	−0.006	−0.008	0.006
PR2	0.943	0.723	0.506	0.932	0.727	0.517	0.011	−0.003	−0.011
PR3	0.856	0.652	0.442	0.891	0.676	0.395	−0.035	−0.023	0.047
PR4	0.907	0.696	0.379	0.948	0.714	0.321	−0.042	−0.018	0.058
PR5	0.986	0.762	0.434	0.983	0.784	0.438	0.003	−0.023	−0.004

Note(s): RMSE: root mean squared error. MAE: mean absolute error. PLS: partial least squares path model. LM: linear regression model. PR: people results. K = 4 subgroups, number of repetitions = 10

Source(s): Authors' own creation

[ViewLarge]

Sharing Unavailable