Dependent variable:
	-1 / Response time [sec]
	Fitting method:
	REML	REML	REML	REML
	(1)	(2)	(3)	(4)
Random effects variances
Participant
(Intercept)	0.039	0.049	0.049	0.049
Target Orientation (In-Up)		0.002	0.002	0.002
Preview (Inv-Val)		0.001	0.001	0.001
Trial number		0.010	0.010	0.010
Target Orientation x Preview		0.003	0.003	0.003
Target Orientation x Trial number		0.0001	0.0001	0.0001
Preview x Trial number			0	0
Target Orientation x Preview x Trial number				0
Residual Variance	0.039	0.036	0.036	0.036
Fixed effects
Target Orientation (In-Up)	0.033	0.037	0.037	0.037
	(0.007)	(0.010)	(0.010)	(0.010)
	t = 4.675	t = 3.749	t = 3.749	t = 3.749
Preview (Inv-Val)	0.044	0.041	0.041	0.041
	(0.007)	(0.009)	(0.009)	(0.009)
	t = 6.143	t = 4.549	t = 4.549	t = 4.549
Training (Inv-Val)	-0.144	-0.138	-0.138	-0.138
	(0.068)	(0.075)	(0.075)	(0.075)
	t = -2.128	t = -1.831	t = -1.831	t = -1.831
Trial number	-0.074	-0.077	-0.077	-0.077
	(0.004)	(0.017)	(0.017)	(0.017)
	t = -20.736	t = -4.388	t = -4.388	t = -4.388
Target Orientation x Preview	-0.010	-0.014	-0.014	-0.014
	(0.014)	(0.016)	(0.016)	(0.016)
	t = -0.729	t = -0.841	t = -0.841	t = -0.841
Target Orientation x Training	0.010	0.002	0.002	0.002
	(0.014)	(0.020)	(0.020)	(0.020)
	t = 0.696	t = 0.083	t = 0.083	t = 0.083
Preview x Training	-0.074	-0.070	-0.070	-0.070
	(0.014)	(0.018)	(0.018)	(0.018)
	t = -5.242	t = -3.848	t = -3.848	t = -3.848
Target Orientation x Trial number	0.016	0.013	0.013	0.013
	(0.007)	(0.007)	(0.007)	(0.007)
	t = 2.269	t = 1.866	t = 1.866	t = 1.866
Preview x Trial number	0.001	0.003	0.003	0.003
	(0.007)	(0.007)	(0.007)	(0.007)
	t = 0.079	t = 0.425	t = 0.425	t = 0.425
Training x Trial number	0.065	0.058	0.058	0.058
	(0.007)	(0.035)	(0.035)	(0.035)
	t = 9.151	t = 1.676	t = 1.676	t = 1.676
Target Orientation x Preview x Training	0.015	0.010	0.010	0.010
	(0.028)	(0.033)	(0.033)	(0.033)
	t = 0.522	t = 0.300	t = 0.300	t = 0.300
Target Orientation x Preview x Trial number	0.007	0.012	0.012	0.012
	(0.014)	(0.014)	(0.014)	(0.014)
	t = 0.486	t = 0.854	t = 0.854	t = 0.854
Target Orientation x Training x Trial number	-0.007	-0.002	-0.002	-0.002
	(0.014)	(0.014)	(0.014)	(0.014)
	t = -0.469	t = -0.122	t = -0.122	t = -0.122
Preview x Training x Trial number	0.033	0.028	0.028	0.028
	(0.014)	(0.014)	(0.014)	(0.014)
	t = 2.359	t = 2.051	t = 2.051	t = 2.051
Target Orientation x Preview x Training x Trial number	-0.015	-0.017	-0.017	-0.017
	(0.028)	(0.027)	(0.027)	(0.027)
	t = -0.541	t = -0.618	t = -0.618	t = -0.618
Constant	-1.025	-1.022	-1.022	-1.022
	(0.034)	(0.038)	(0.038)	(0.038)
	t = -30.344	t = -27.213	t = -27.213	t = -27.213
Observations	12,671	12,671	12,671	12,671
AICc	-4852.342	-5702.931	-5700.924	-5698.916
Log Likelihood	2444.198	2874.509	2874.509	2874.509
Deviance	-4888.396	-5749.019	-5749.019	-5749.019
Df	18	23	24	25
χ2		860.623	0	0
χ2 Df		5	1	1
p		< .001	1.000	1.000
Model is singular			†	†