TABLE 4:

Multivariate Model Statistics for Each Participant Under Each Condition

Participant Number	Un-Fatigued Origin				Fatigued Origin
	Power	R 2	PR2	RMSE	Power	R 2	PR2	RMSE
1	4	0.46	0.43	2.93	4	0.55	0.52	2.85
2	4	0.55	0.52	3.26	3	0.37	0.35	5.02
3	3	0.60	0.58	2.24	4	0.67	0.64	2.84
4	2	0.73	0.73	4.48	3	0.44	0.42	3.66
5	2	0.42	0.41	2.09	2	0.14	0.12	3.52
6	1	0.04	0.03	2.70	1	0.02	0.02	8.19
7	3	0.16	0.13	2.94	2	0.18	0.16	3.68
8	4	0.74	0.72	3.10	1	0.23	0.22	5.32
9	4	0.79	0.77	2.27	3	0.46	0.44	3.06
10	3	0.62	0.61	3.27	4	0.49	0.44	3.37
1	3	0.47	0.45	3.08	2	0.37	0.36	3.98
2	2	0.41	0.40	3.54	3	0.61	0.60	3.66
3	3	0.72	0.71	1.78	3	0.62	0.60	2.12
4	1	0.26	0.26	4.84	2	0.26	0.25	5.27
5	3	0.44	0.42	2.94	3	0.35	0.33	5.18
6	4	0.69	0.67	1.80	3	0.47	0.45	2.66
7	2	0.25	0.23	4.56	4	0.62	0.59	1.75
8	3	0.30	0.27	4.12	3	0.68	0.66	1.74
9	3	0.36	0.34	3.03	3	0.35	0.33	2.95
10	4	0.62	0.59	2.38	4	0.73	0.70	1.83

Note: PR² is the predicted R² value calculated with a leave one out cross validation. RMSE (degrees normalized to total range of motion) is the root mean squared error of the residuals between the actual input values and the model predicted values.