Table 6 PLS predict assessment PLS LM...

Table 6

PLS predict assessment

	PLS		LM	PLS-LM
	RMSE	Q²_predict	RMSE	RMSE
ESWB1	0.763	0.158	0.772	−0.009
ESWB2	0.794	0.177	0.803	−0.009
ESWB3	0.767	0.141	0.776	−0.009
ESWB4	0.884	0.164	0.874	0.010
ESWB5	0.943	0.180	0.933	0.010
IWA1	1.097	0.272	1.089	0.008
IWA2	1.073	0.181	1.087	−0.014
IWA3	1.265	0.154	1.279	−0.014
IWA4	1.350	0.078	1.340	0.010
IWA5	1.113	0.158	1.126	−0.013

	PLS		LM	PLS-LM
	RMSE	Q²_predict	RMSE	RMSE
ESWB1	0.763	0.158	0.772	−0.009
ESWB2	0.794	0.177	0.803	−0.009
ESWB3	0.767	0.141	0.776	−0.009
ESWB4	0.884	0.164	0.874	0.010
ESWB5	0.943	0.180	0.933	0.010
IWA1	1.097	0.272	1.089	0.008
IWA2	1.073	0.181	1.087	−0.014
IWA3	1.265	0.154	1.279	−0.014
IWA4	1.350	0.078	1.340	0.010
IWA5	1.113	0.158	1.126	−0.013

Cross-validated predictive ability test (CVPAT)
	Average loss difference	\|t-value\|
${C V P A T}_{o v e r a l l}^{b e n c h m a r k_I A}$	−0.200^***	6.428
${C V P A T}_{o v e r a l l}^{b e n c h m a r k_L M}$	−0.007	0.616

Cross-validated predictive ability test (CVPAT)
${C V P A T}_{o v e r a l l}^{b e n c h m a r k_I A}$	−0.200^***	6.428
${C V P A T}_{o v e r a l l}^{b e n c h m a r k_L M}$	−0.007	0.616

Note(s): ESWB: Environmentally sustainable work behavior, IWA: Innovative work attitudes. LM: linear regression model; RMSE: the root mean squared error; RMSE: the root mean squared error; IA: indicator averages; LM: linear model

Source(s): Authors' own work

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