MARS 1 Results

	Dataset:	ch3wMaster21May2012old.dta

	Predictor Variables:	AGE, GENDER, CHILDW, INC1W, INC2W, INC3W, INC4W, CATAW,
		SHJOBW, SHFAMW, SHHLW, SHFINCW, SHHOUSW, SHRELAW,
		SUPRTW, SUFAMW, SUCHRW, SMOKW, GOFERW, TRGOVW, TRREPW,
		KMACC, KMWORK, INJSELFR, INJOTHR, DEFNW, EFRADW,
		AIRW, DAFTER, TOXIC, SKIN, HEALTHEF, GOODRAD, KZCHORN,
		CHSIZE, SUICSYM, GLOBSEVE, WHPEL, MIPTSD, AVGCUMDOSEW,
		AGESQ, EDUC1, EDUC2, EDUC3, EDUC4, EDUC5, EDUC6,
		EDUC7, HAVMIL, ANXAGW1, ANXAGW2, ANXAGW3, BF1, BF4,
		BF5, BF6, BF7, BF10, BF11, BF12, BF14, BF15, BF2,
		BF4M, BF5M, BF7M, BF8, BF15M, BF17, BF20, BF22, BF29,
		BF30, BF40, CHILDW_mis, SHJOBW_mis, SHFAMW_mis, SHFINCW_mis,
		SHHOUSW_mis, SHRELAW_mis, SUPRTW_mis, SUFAMW_mis,
		SUCHRW_mis, SMOKW_mis, GOFERW_mis, TRGOVW_mis, TRREPW_mis,
		DEFNW_mis, AIRW_mis, DAFTER_mis, SKIN_mis, BF12_mis,
		BF14_mis, BF15_mis

MARS 1 Results
Model Sequence
	Basis
Functions	N
Predictors	N
Inputs	Effective
Parameters	    GCV    	GCV R-Square	Train MSE	
	14	8	7	29.00	634.56939	0.40379	621.65943	
	13	8	7	27.00	633.54164	0.40475	621.54989	
	**12	8	7	25.00	632.60752	0.40563	621.52974	
	11	8	7	23.00	634.11120	0.40422	623.90579	
	10	8	7	21.00	635.92679	0.40251	626.59372	
	9	8	7	19.00	640.89069	0.39785	632.39366	
	8	7	6	17.00	645.73180	0.39330	638.08665	
	7	6	5	15.00	649.39260	0.38986	642.62565	
	6	6	5	13.00	655.86811	0.38377	649.96471	
	5	4	4	11.00	657.84895	0.38191	652.86186	
	4	3	3	9.00	664.55631	0.37561	660.46234	
	3	3	3	7.00	674.99744	0.36580	671.79825	
	2	2	2	5.00	686.01101	0.35545	683.73468	
	1	1	1	3.00	698.28921	0.34392	696.96496	
	0	0	0	1.00	1,064.33081	0.00000	1,063.32169	

MARS Selector Error Curve

MARS 1 Results; 12 Basis Functions

	Dataset:	ch3wMaster21May2012old.dta

	Predictor Variables:	AGE, GENDER, CHILDW, INC1W, INC2W, INC3W, INC4W, CATAW,
		SHJOBW, SHFAMW, SHHLW, SHFINCW, SHHOUSW, SHRELAW,
		SUPRTW, SUFAMW, SUCHRW, SMOKW, GOFERW, TRGOVW, TRREPW,
		KMACC, KMWORK, INJSELFR, INJOTHR, DEFNW, EFRADW,
		AIRW, DAFTER, TOXIC, SKIN, HEALTHEF, GOODRAD, KZCHORN,
		CHSIZE, SUICSYM, GLOBSEVE, WHPEL, MIPTSD, AVGCUMDOSEW,
		AGESQ, EDUC1, EDUC2, EDUC3, EDUC4, EDUC5, EDUC6,
		EDUC7, HAVMIL, ANXAGW1, ANXAGW2, ANXAGW3, BF1, BF4,
		BF5, BF6, BF7, BF10, BF11, BF12, BF14, BF15, BF2,
		BF4M, BF5M, BF7M, BF8, BF15M, BF17, BF20, BF22, BF29,
		BF30, BF40, CHILDW_mis, SHJOBW_mis, SHFAMW_mis, SHFINCW_mis,
		SHHOUSW_mis, SHRELAW_mis, SUPRTW_mis, SUFAMW_mis,
		SUCHRW_mis, SMOKW_mis, GOFERW_mis, TRGOVW_mis, TRREPW_mis,
		DEFNW_mis, AIRW_mis, DAFTER_mis, SKIN_mis, BF12_mis,
		BF14_mis, BF15_mis

		Target Variable WHPEL
N: 2,109 		Minimum0.00000 	Maximum:  100.00000 
Mean:   27.65519 		Varience:   1063.82611 

		Variables, Terms, and Parameters
Direct variables: 7 		Total variables: 8 
Terms in model: 13 		Effective parameters: 25.00 

		R-Square Measures
Naive: 0.41909 		Naive adjusted: 0.41576 	GCV R-square: 0.40563 

		Mean-Square Measures
Naive MSE: 621.52974 		MARS GCV: 632.60752 

Basis Functions

		Basis Functions
 BF1 = max(0, BF4M - 12);
 BF2 = max(0, 12 - BF4M);
 BF3 = max(0, GLOBSEVE - 0.264151);
 BF4 = max(0, 0.264151 - GLOBSEVE);
 BF5 = max(0, AGE - 60);
 BF7 = (SUPRTW ne . );
 BF9 = max(0, SUPRTW - 5) * BF7;
 BF10 = max(0, 5 - SUPRTW) * BF7;
 BF11 = max(0, KMACC - 60);
 BF12 = max(0, 60 - KMACC);
 BF13 = max(0, MIPTSD - 49);
 BF14 = max(0, 49 - MIPTSD);
 BF15 = max(0, BF5 + 1.93917E-006);

 Y = 66.3623 - 2.84593 * BF1 - 1.17892 * BF2 + 15.3267 * BF3 
             - 35.9861 * BF4 + 1.06253 * BF5 - 0.126519 * BF9 
             - 2.57107 * BF10 - 0.0140379 * BF11 - 0.261349 * BF12 
             - 0.341097 * BF13 - 0.665962 * BF14 
             - 0.0772123 * BF15;

 MODEL WHPEL = BF1 BF2 BF3 BF4 BF5 BF9 BF10 BF11 BF12 BF13 BF14 
               BF15;

Anova Data
	Function	Standard
Deviation	Mars Prediction Success
Threshold Table   	No of basis
Functions	No of Effective
Parameters	Variables	
	1	11.95186	689.81622	2	4.000	BF4M	
	2	9.09650	656.50390	2	4.000	GLOBSEVE	
	3	3.83360	645.38485	1	2.000	AGE	
	4	3.11265	639.86932	2	4.000	KMACC	
	5	3.32024	639.86417	2	4.000	MIPTSD	
	6	2.78880	638.24086	1	2.000	BF5	
	7	3.49426	642.37137	2	4.000	SUPRTW, SUPRTW_mis	

Final Model
	Basis
Function	Coefficient	Variable	Sign	Parent
Sign	Parent	Knot	
	0	66.3623						
	1	-2.8459	BF4M	+			12.0000	
	2	-1.1789	BF4M	-			12.0000	
	3	15.3267	GLOBSEVE	+			0.2642	
	4	-35.9861	GLOBSEVE	-			0.2642	
	5	1.0625	AGE	+			60.0000	
	9	-0.1265	SUPRTW	-	-	SUPRTW_mis	5.0000	
	10	-2.5711	SUPRTW	+	-	SUPRTW_mis	5.0000	
	11	-0.0140	KMACC	-			60.0000	
	12	-0.2613	KMACC	+			60.0000	
	13	-0.3411	MIPTSD	-			49.0000	
	14	-0.6660	MIPTSD	+			49.0000	
	15	-0.0772	BF5	-			-0.0000	

MARS Learn Gains

Gains Data
Bin	Target
Bin Avg.	% Target
in Bin	Cum % Target
in Bin	Cum %
Pop	% 
Pop	Cases
in Bin	Cum
Lift	Lift
Pop	
1	68.161	26.65	26.65	10.81	10.81	228	2.46	2.46	
2	51.938	19.68	46.33	21.29	10.48	221	2.18	1.88	
3	39.820	14.54	60.87	31.39	10.10	213	1.94	1.44	
4	32.383	11.72	72.58	41.39	10.00	211	1.75	1.17	
5	27.433	9.55	82.13	51.02	9.63	203	1.61	0.99	
6	21.291	7.37	89.50	60.60	9.58	202	1.48	0.77	
7	16.731	6.02	95.53	70.55	9.96	210	1.35	0.61	
8	7.925	2.77	98.30	80.23	9.67	204	1.23	0.29	
9	2.881	1.03	99.33	90.09	9.86	208	1.10	0.10	
10	1.876	0.67	100.00	100.00	9.91	209	1.00	0.07	

Variable Importance
Variable	Score	 	
BF4M	100.00	||||||||||||||||||||||||||||||||||||||||||	
GLOBSEVE	64.63	|||||||||||||||||||||||||||	
AGE	47.26	|||||||||||||||||||	
SUPRTW_mis	41.31	|||||||||||||||||	
SUPRTW	41.31	|||||||||||||||||	
KMACC	35.63	||||||||||||||	
MIPTSD	35.62	||||||||||||||	
BF5	31.38	||||||||||||	

MARS 1 Results; 12 Basis Functions

	Dataset:	ch3wMaster21May2012old.dta

	Predictor Variables:	AGE, GENDER, CHILDW, INC1W, INC2W, INC3W, INC4W, CATAW,
		SHJOBW, SHFAMW, SHHLW, SHFINCW, SHHOUSW, SHRELAW,
		SUPRTW, SUFAMW, SUCHRW, SMOKW, GOFERW, TRGOVW, TRREPW,
		KMACC, KMWORK, INJSELFR, INJOTHR, DEFNW, EFRADW,
		AIRW, DAFTER, TOXIC, SKIN, HEALTHEF, GOODRAD, KZCHORN,
		CHSIZE, SUICSYM, GLOBSEVE, WHPEL, MIPTSD, AVGCUMDOSEW,
		AGESQ, EDUC1, EDUC2, EDUC3, EDUC4, EDUC5, EDUC6,
		EDUC7, HAVMIL, ANXAGW1, ANXAGW2, ANXAGW3, BF1, BF4,
		BF5, BF6, BF7, BF10, BF11, BF12, BF14, BF15, BF2,
		BF4M, BF5M, BF7M, BF8, BF15M, BF17, BF20, BF22, BF29,
		BF30, BF40, CHILDW_mis, SHJOBW_mis, SHFAMW_mis, SHFINCW_mis,
		SHHOUSW_mis, SHRELAW_mis, SUPRTW_mis, SUFAMW_mis,
		SUCHRW_mis, SMOKW_mis, GOFERW_mis, TRGOVW_mis, TRREPW_mis,
		DEFNW_mis, AIRW_mis, DAFTER_mis, SKIN_mis, BF12_mis,
		BF14_mis, BF15_mis

		Target Variable WHPEL
N: 2,109 		Minimum0.00000 	Maximum:  100.00000 
Mean:   27.65519 		Varience:   1063.82611 

		Variables, Terms, and Parameters
Direct variables: 7 		Total variables: 8 
Terms in model: 13 		Effective parameters: 25.00 

		R-Square Measures
Naive: 0.41909 		Naive adjusted: 0.41576 	GCV R-square: 0.40563 

		Mean-Square Measures
Naive MSE: 621.52974 		MARS GCV: 632.60752 

Basis Functions

		Basis Functions
 BF1 = max(0, BF4M - 12);
 BF2 = max(0, 12 - BF4M);
 BF3 = max(0, GLOBSEVE - 0.264151);
 BF4 = max(0, 0.264151 - GLOBSEVE);
 BF5 = max(0, AGE - 60);
 BF7 = (SUPRTW ne . );
 BF9 = max(0, SUPRTW - 5) * BF7;
 BF10 = max(0, 5 - SUPRTW) * BF7;
 BF11 = max(0, KMACC - 60);
 BF12 = max(0, 60 - KMACC);
 BF13 = max(0, MIPTSD - 49);
 BF14 = max(0, 49 - MIPTSD);
 BF15 = max(0, BF5 + 1.93917E-006);

 Y = 66.3623 - 2.84593 * BF1 - 1.17892 * BF2 + 15.3267 * BF3 
             - 35.9861 * BF4 + 1.06253 * BF5 - 0.126519 * BF9 
             - 2.57107 * BF10 - 0.0140379 * BF11 - 0.261349 * BF12 
             - 0.341097 * BF13 - 0.665962 * BF14 
             - 0.0772123 * BF15;

 MODEL WHPEL = BF1 BF2 BF3 BF4 BF5 BF9 BF10 BF11 BF12 BF13 BF14 
               BF15;

Anova Data
	Function	Standard
Deviation	Mars Prediction Success
Threshold Table   	No of basis
Functions	No of Effective
Parameters	Variables	
	1	11.95186	689.81622	2	4.000	BF4M	
	2	9.09650	656.50390	2	4.000	GLOBSEVE	
	3	3.83360	645.38485	1	2.000	AGE	
	4	3.11265	639.86932	2	4.000	KMACC	
	5	3.32024	639.86417	2	4.000	MIPTSD	
	6	2.78880	638.24086	1	2.000	BF5	
	7	3.49426	642.37137	2	4.000	SUPRTW, SUPRTW_mis	

Final Model
	Basis
Function	Coefficient	Variable	Sign	Parent
Sign	Parent	Knot	
	0	66.3623						
	1	-2.8459	BF4M	+			12.0000	
	2	-1.1789	BF4M	-			12.0000	
	3	15.3267	GLOBSEVE	+			0.2642	
	4	-35.9861	GLOBSEVE	-			0.2642	
	5	1.0625	AGE	+			60.0000	
	9	-0.1265	SUPRTW	-	-	SUPRTW_mis	5.0000	
	10	-2.5711	SUPRTW	+	-	SUPRTW_mis	5.0000	
	11	-0.0140	KMACC	-			60.0000	
	12	-0.2613	KMACC	+			60.0000	
	13	-0.3411	MIPTSD	-			49.0000	
	14	-0.6660	MIPTSD	+			49.0000	
	15	-0.0772	BF5	-			-0.0000	

MARS Learn Gains

Gains Data
Bin	Target
Bin Avg.	% Target
in Bin	Cum % Target
in Bin	Cum %
Pop	% 
Pop	Cases
in Bin	Cum
Lift	Lift
Pop	
1	73.335	21.25	21.25	8.01	8.01	169	2.65	2.65	
2	52.572	15.50	36.75	16.17	8.16	172	2.27	1.90	
3	47.622	13.64	50.39	24.09	7.92	167	2.09	1.72	
4	38.906	11.07	61.46	31.96	7.87	166	1.92	1.41	
5	32.332	8.54	70.00	39.26	7.30	154	1.78	1.17	
6	30.526	7.64	77.64	46.18	6.92	146	1.68	1.10	
7	24.726	5.94	83.57	52.82	6.64	140	1.58	0.89	
8	21.855	5.17	88.75	59.36	6.54	138	1.49	0.79	
9	17.648	4.05	92.80	65.72	6.35	134	1.41	0.64	
10	14.298	3.46	96.26	72.40	6.69	141	1.33	0.52	
11	6.634	1.56	97.81	78.90	6.50	137	1.24	0.24	
12	5.676	1.43	99.25	85.87	6.97	147	1.16	0.21	
13	1.940	0.49	99.73	92.79	6.92	146	1.07	0.07	
14	1.032	0.27	100.00	100.00	7.21	152	1.00	0.04	

Variable Importance
Variable	Score	 	
BF4M	100.00	||||||||||||||||||||||||||||||||||||||||||	
GLOBSEVE	64.63	|||||||||||||||||||||||||||	
AGE	47.26	|||||||||||||||||||	
SUPRTW_mis	41.31	|||||||||||||||||	
SUPRTW	41.31	|||||||||||||||||	
KMACC	35.63	||||||||||||||	
MIPTSD	35.62	||||||||||||||	
BF5	31.38	||||||||||||	

MARS 1 Results

	Dataset:	ch3wMaster21May2012old.dta

	Predictor Variables:	AGE, GENDER, CHILDW, INC1W, INC2W, INC3W, INC4W, CATAW,
		SHJOBW, SHFAMW, SHHLW, SHFINCW, SHHOUSW, SHRELAW,
		SUPRTW, SUFAMW, SUCHRW, SMOKW, GOFERW, TRGOVW, TRREPW,
		KMACC, KMWORK, INJSELFR, INJOTHR, DEFNW, EFRADW,
		AIRW, DAFTER, TOXIC, SKIN, HEALTHEF, GOODRAD, KZCHORN,
		CHSIZE, SUICSYM, GLOBSEVE, WHPEL, MIPTSD, AVGCUMDOSEW,
		AGESQ, EDUC1, EDUC2, EDUC3, EDUC4, EDUC5, EDUC6,
		EDUC7, HAVMIL, ANXAGW1, ANXAGW2, ANXAGW3, BF1, BF4,
		BF5, BF6, BF7, BF10, BF11, BF12, BF14, BF15, BF2,
		BF4M, BF5M, BF7M, BF8, BF15M, BF17, BF20, BF22, BF29,
		BF30, BF40, CHILDW_mis, SHJOBW_mis, SHFAMW_mis, SHFINCW_mis,
		SHHOUSW_mis, SHRELAW_mis, SUPRTW_mis, SUFAMW_mis,
		SUCHRW_mis, SMOKW_mis, GOFERW_mis, TRGOVW_mis, TRREPW_mis,
		DEFNW_mis, AIRW_mis, DAFTER_mis, SKIN_mis, BF12_mis,
		BF14_mis, BF15_mis

MARS 1 Results
Model Sequence
	Basis
Functions	N
Predictors	N
Inputs	Effective
Parameters	    GCV    	GCV R-Square	Train MSE	
	14	8	7	29.00	634.56939	0.40379	621.65943	
	13	8	7	27.00	633.54164	0.40475	621.54989	
	**12	8	7	25.00	632.60752	0.40563	621.52974	
	11	8	7	23.00	634.11120	0.40422	623.90579	
	10	8	7	21.00	635.92679	0.40251	626.59372	
	9	8	7	19.00	640.89069	0.39785	632.39366	
	8	7	6	17.00	645.73180	0.39330	638.08665	
	7	6	5	15.00	649.39260	0.38986	642.62565	
	6	6	5	13.00	655.86811	0.38377	649.96471	
	5	4	4	11.00	657.84895	0.38191	652.86186	
	4	3	3	9.00	664.55631	0.37561	660.46234	
	3	3	3	7.00	674.99744	0.36580	671.79825	
	2	2	2	5.00	686.01101	0.35545	683.73468	
	1	1	1	3.00	698.28921	0.34392	696.96496	
	0	0	0	1.00	1,064.33081	0.00000	1,063.32169	

MARS Selector Error Curve

MARS 2 Results

	Dataset:	ch3wMaster21May2012old.dta

	Predictor Variables:	AGE, GENDER, CHILDW, INC1W, INC2W, INC3W, INC4W, CATAW,
		SHJOBW, SHFAMW, SHHLW, SHFINCW, SHHOUSW, SHRELAW,
		SUPRTW, SUFAMW, SUCHRW, SMOKW, GOFERW, TRGOVW, TRREPW,
		KMACC, KMWORK, INJSELFR, INJOTHR, DEFNW, EFRADW,
		AIRW, DAFTER, TOXIC, SKIN, HEALTHEF, GOODRAD, KZCHORN,
		CHSIZE, SUICSYM, GLOBSEVE, WHPEL, MIPTSD, AVGCUMDOSEW,
		AGESQ, EDUC1, EDUC2, EDUC3, EDUC4, EDUC5, EDUC6,
		EDUC7, HAVMIL, ANXAGW1, ANXAGW2, ANXAGW3, BF1, BF4,
		BF5, BF6, BF7, BF10, BF11, BF12, BF14, BF15, BF2,
		BF4M, BF5M, BF7M, BF8, BF15M, BF17, BF20, BF22, BF29,
		BF30, BF40, CHILDW_mis, SHJOBW_mis, SHFAMW_mis, SHFINCW_mis,
		SHHOUSW_mis, SHRELAW_mis, SUPRTW_mis, SUFAMW_mis,
		SUCHRW_mis, SMOKW_mis, GOFERW_mis, TRGOVW_mis, TRREPW_mis,
		DEFNW_mis, AIRW_mis, DAFTER_mis, SKIN_mis, BF12_mis,
		BF14_mis, BF15_mis

MARS 2 Results
Model Sequence
	Basis
Functions	N
Predictors	N
Inputs	Effective
Parameters	    GCV    	GCV R-Square	Train MSE	
	14	8	7	29.00	634.56939	0.40379	621.65943	
	13	8	7	27.00	633.54164	0.40475	621.54989	
	**12	8	7	25.00	632.60752	0.40563	621.52974	
	11	8	7	23.00	634.11120	0.40422	623.90579	
	10	8	7	21.00	635.92679	0.40251	626.59372	
	9	8	7	19.00	640.89069	0.39785	632.39366	
	8	7	6	17.00	645.73180	0.39330	638.08665	
	7	6	5	15.00	649.39260	0.38986	642.62565	
	6	6	5	13.00	655.86811	0.38377	649.96471	
	5	4	4	11.00	657.84895	0.38191	652.86186	
	4	3	3	9.00	664.55631	0.37561	660.46234	
	3	3	3	7.00	674.99744	0.36580	671.79825	
	2	2	2	5.00	686.01101	0.35545	683.73468	
	1	1	1	3.00	698.28921	0.34392	696.96496	
	0	0	0	1.00	1,064.33081	0.00000	1,063.32169	

MARS Selector Error Curve

MARS 2 Results; 12 Basis Functions

	Dataset:	ch3wMaster21May2012old.dta

	Predictor Variables:	AGE, GENDER, CHILDW, INC1W, INC2W, INC3W, INC4W, CATAW,
		SHJOBW, SHFAMW, SHHLW, SHFINCW, SHHOUSW, SHRELAW,
		SUPRTW, SUFAMW, SUCHRW, SMOKW, GOFERW, TRGOVW, TRREPW,
		KMACC, KMWORK, INJSELFR, INJOTHR, DEFNW, EFRADW,
		AIRW, DAFTER, TOXIC, SKIN, HEALTHEF, GOODRAD, KZCHORN,
		CHSIZE, SUICSYM, GLOBSEVE, WHPEL, MIPTSD, AVGCUMDOSEW,
		AGESQ, EDUC1, EDUC2, EDUC3, EDUC4, EDUC5, EDUC6,
		EDUC7, HAVMIL, ANXAGW1, ANXAGW2, ANXAGW3, BF1, BF4,
		BF5, BF6, BF7, BF10, BF11, BF12, BF14, BF15, BF2,
		BF4M, BF5M, BF7M, BF8, BF15M, BF17, BF20, BF22, BF29,
		BF30, BF40, CHILDW_mis, SHJOBW_mis, SHFAMW_mis, SHFINCW_mis,
		SHHOUSW_mis, SHRELAW_mis, SUPRTW_mis, SUFAMW_mis,
		SUCHRW_mis, SMOKW_mis, GOFERW_mis, TRGOVW_mis, TRREPW_mis,
		DEFNW_mis, AIRW_mis, DAFTER_mis, SKIN_mis, BF12_mis,
		BF14_mis, BF15_mis

		Target Variable WHPEL
N: 2,109 		Minimum0.00000 	Maximum:  100.00000 
Mean:   27.65519 		Varience:   1063.82611 

		Variables, Terms, and Parameters
Direct variables: 7 		Total variables: 8 
Terms in model: 13 		Effective parameters: 25.00 

		R-Square Measures
Naive: 0.41909 		Naive adjusted: 0.41576 	GCV R-square: 0.40563 

		Mean-Square Measures
Naive MSE: 621.52974 		MARS GCV: 632.60752 

Basis Functions

		Basis Functions
 BF1 = max(0, BF4M - 12);
 BF2 = max(0, 12 - BF4M);
 BF3 = max(0, GLOBSEVE - 0.264151);
 BF4 = max(0, 0.264151 - GLOBSEVE);
 BF5 = max(0, AGE - 60);
 BF7 = (SUPRTW ne . );
 BF9 = max(0, SUPRTW - 5) * BF7;
 BF10 = max(0, 5 - SUPRTW) * BF7;
 BF11 = max(0, KMACC - 60);
 BF12 = max(0, 60 - KMACC);
 BF13 = max(0, MIPTSD - 49);
 BF14 = max(0, 49 - MIPTSD);
 BF15 = max(0, BF5 + 1.93917E-006);

 Y = 66.3623 - 2.84593 * BF1 - 1.17892 * BF2 + 15.3267 * BF3 
             - 35.9861 * BF4 + 1.06253 * BF5 - 0.126519 * BF9 
             - 2.57107 * BF10 - 0.0140379 * BF11 - 0.261349 * BF12 
             - 0.341097 * BF13 - 0.665962 * BF14 
             - 0.0772123 * BF15;

 MODEL WHPEL = BF1 BF2 BF3 BF4 BF5 BF9 BF10 BF11 BF12 BF13 BF14 
               BF15;

Anova Data
	Function	Standard
Deviation	Mars Prediction Success
Threshold Table   	No of basis
Functions	No of Effective
Parameters	Variables	
	1	11.95186	689.81622	2	4.000	BF4M	
	2	9.09650	656.50390	2	4.000	GLOBSEVE	
	3	3.83360	645.38485	1	2.000	AGE	
	4	3.11265	639.86932	2	4.000	KMACC	
	5	3.32024	639.86417	2	4.000	MIPTSD	
	6	2.78880	638.24086	1	2.000	BF5	
	7	3.49426	642.37137	2	4.000	SUPRTW, SUPRTW_mis	

Final Model
	Basis
Function	Coefficient	Variable	Sign	Parent
Sign	Parent	Knot	
	0	66.3623						
	1	-2.8459	BF4M	+			12.0000	
	2	-1.1789	BF4M	-			12.0000	
	3	15.3267	GLOBSEVE	+			0.2642	
	4	-35.9861	GLOBSEVE	-			0.2642	
	5	1.0625	AGE	+			60.0000	
	9	-0.1265	SUPRTW	-	-	SUPRTW_mis	5.0000	
	10	-2.5711	SUPRTW	+	-	SUPRTW_mis	5.0000	
	11	-0.0140	KMACC	-			60.0000	
	12	-0.2613	KMACC	+			60.0000	
	13	-0.3411	MIPTSD	-			49.0000	
	14	-0.6660	MIPTSD	+			49.0000	
	15	-0.0772	BF5	-			-0.0000	

MARS Learn Gains

Gains Data
Bin	Target
Bin Avg.	% Target
in Bin	Cum % Target
in Bin	Cum %
Pop	% 
Pop	Cases
in Bin	Cum
Lift	Lift
Pop	
1	68.161	26.65	26.65	10.81	10.81	228	2.46	2.46	
2	51.938	19.68	46.33	21.29	10.48	221	2.18	1.88	
3	39.820	14.54	60.87	31.39	10.10	213	1.94	1.44	
4	32.383	11.72	72.58	41.39	10.00	211	1.75	1.17	
5	27.433	9.55	82.13	51.02	9.63	203	1.61	0.99	
6	21.291	7.37	89.50	60.60	9.58	202	1.48	0.77	
7	16.731	6.02	95.53	70.55	9.96	210	1.35	0.61	
8	7.925	2.77	98.30	80.23	9.67	204	1.23	0.29	
9	2.881	1.03	99.33	90.09	9.86	208	1.10	0.10	
10	1.876	0.67	100.00	100.00	9.91	209	1.00	0.07	

Variable Importance
Variable	Score	 	
BF4M	100.00	||||||||||||||||||||||||||||||||||||||||||	
GLOBSEVE	64.63	|||||||||||||||||||||||||||	
AGE	47.26	|||||||||||||||||||	
SUPRTW_mis	41.31	|||||||||||||||||	
SUPRTW	41.31	|||||||||||||||||	
KMACC	35.63	||||||||||||||	
MIPTSD	35.62	||||||||||||||	
BF5	31.38	||||||||||||	

MARS 3 Results

	Dataset:	ch3wMaster21May2012old.dta

	Predictor Variables:	AGE, GENDER, CHILDW, INC1W, INC2W, INC3W, INC4W, CATAW,
		SHJOBW, SHFAMW, SHHLW, SHFINCW, SHHOUSW, SHRELAW,
		SUPRTW, SUFAMW, SUCHRW, SMOKW, GOFERW, TRGOVW, TRREPW,
		KMACC, KMWORK, INJSELFR, INJOTHR, DEFNW, EFRADW,
		AIRW, DAFTER, TOXIC, SKIN, HEALTHEF, GOODRAD, KZCHORN,
		CHSIZE, SUICSYM, GLOBSEVE, WHPEL, MIPTSD, AVGCUMDOSEW,
		AGESQ, EDUC1, EDUC2, EDUC3, EDUC4, EDUC5, EDUC6,
		EDUC7, HAVMIL, ANXAGW1, ANXAGW2, ANXAGW3, BF1, BF4,
		BF5, BF6, BF7, BF10, BF11, BF12, BF14, BF15, BF2,
		BF4M, BF5M, BF7M, BF8, BF15M, BF17, BF20, BF22, BF29,
		BF30, BF40, CHILDW_mis, SHJOBW_mis, SHFAMW_mis, SHFINCW_mis,
		SHHOUSW_mis, SHRELAW_mis, SUPRTW_mis, SUFAMW_mis,
		SUCHRW_mis, SMOKW_mis, GOFERW_mis, TRGOVW_mis, TRREPW_mis,
		DEFNW_mis, AIRW_mis, DAFTER_mis, SKIN_mis, BF12_mis,
		BF14_mis, BF15_mis

MARS 3 Results
Model Sequence
	Basis
Functions	N
Predictors	N
Inputs	Effective
Parameters	    GCV    	GCV R-Square	Train MSE	
	14	8	7	29.00	634.56939	0.40379	621.65943	
	13	8	7	27.00	633.54164	0.40475	621.54989	
	**12	8	7	25.00	632.60752	0.40563	621.52974	
	11	8	7	23.00	634.11120	0.40422	623.90579	
	10	8	7	21.00	635.92679	0.40251	626.59372	
	9	8	7	19.00	640.89069	0.39785	632.39366	
	8	7	6	17.00	645.73180	0.39330	638.08665	
	7	6	5	15.00	649.39260	0.38986	642.62565	
	6	6	5	13.00	655.86811	0.38377	649.96471	
	5	4	4	11.00	657.84895	0.38191	652.86186	
	4	3	3	9.00	664.55631	0.37561	660.46234	
	3	3	3	7.00	674.99744	0.36580	671.79825	
	2	2	2	5.00	686.01101	0.35545	683.73468	
	1	1	1	3.00	698.28921	0.34392	696.96496	
	0	0	0	1.00	1,064.33081	0.00000	1,063.32169	

MARS Selector Error Curve

MARS 4 Results

	Dataset:	ch3wMaster21May2012old.dta

	Predictor Variables:	EMPLW, WAVE, AGE, GENDER, CHILDW, OCC1W, OCC2W, OCC3W,
		OCC4W, OCC5W, OCC6W, OCC7W, OCC8W, INC1W, INC2W,
		INC3W, INC4W, DEAW, DVCEW, SEPAW, CATAW, ILLW, SHJOBW,
		SHFAMW, SHHLW, SHFINCW, SHHOUSW, SHRELAW, SUPRTW,
		SUFAMW, SUCHRW, CONTW, NCONTW, SMOKW, PILLW, MEDCOW,
		GOFERW, FDFERW, TRGOVW, TRREPW, KMACC, KMWORK, INJSELFR,
		INJOTHR, EVACSELFR, RELSELFR, DEFNW, EFRADW, POLPRW,
		AIRW, RADCHW, RADLTW, RADHLW, DAFTER, DAUTHW, MEDW,
		NEIW, TOXIC, SKIN, NEAR, CLOUD, HEALTHEF, WOMAN,
		SAFERAD, GOODRAD, KZCHORN, CHSIZE, SUICSYM, GLOBSEVE,
		CSPRBSLV, CSSOCSPT, CSAVOID, WHPPAIN, HP2WORK, HP2HMCARE,
		HP2PROBSOC, HP2PBFHM, HP2SXLIFE, HP2INTHOB, HP2VACATN,
		MIPTSD, AVGCUMDOSEW, AGESQ, EDUC1, EDUC2, EDUC3,
		EDUC4, EDUC5, EDUC6, EDUC7, HAVMIL, DEPAGW1, DEPAGW2,
		ANXAGW1, ANXAGW2, ANXAGW3, PHYSDISAGW1, PHYSDISAGW2,
		PHYSDISAGW3, PTSDW1, PTSDW2, PTSDW3, BF1, BF4, BF5,
		BF6, BF7, BF10, BF11, BF12, BF14, BF15, BF2, BF4M,
		BF5M, BF7M, BF8, BF15M, BF17, BF20, BF22, BF29, BF30,
		BF40, CHILDW_mis, SHJOBW_mis, SHFAMW_mis, SHFINCW_mis,
		SHHOUSW_mis, SHRELAW_mis, SUPRTW_mis, SUFAMW_mis,
		SUCHRW_mis, SMOKW_mis, MEDCOW_mis, GOFERW_mis, TRGOVW_mis,
		TRREPW_mis, DEFNW_mis, AIRW_mis, RADLTW_mis, RADHLW_mis,
		DAFTER_mis, DAUTHW_mis, SKIN_mis, CSPRBSLV_mis, CSAVOID_mis,
		BF12_mis, BF14_mis, BF15_mis

MARS 4 Results
Model Sequence
	Basis
Functions	N
Predictors	N
Inputs	Effective
Parameters	    GCV    	GCV R-Square	Train MSE	
	14	9	8	31.00	198.67318	0.50688	194.25718	
	**13	9	8	28.86	198.36379	0.50765	194.26211	
	12	9	8	26.71	198.46721	0.50739	194.67113	
	11	9	8	24.57	199.07105	0.50589	195.57221	
	10	9	8	22.43	200.67015	0.50193	197.45459	
	9	9	8	20.29	202.04286	0.49852	199.11893	
	8	8	7	18.14	203.64739	0.49454	201.01650	
	7	7	6	16.00	205.45783	0.49004	203.12272	
	6	7	6	13.86	207.99046	0.48376	205.94982	
	5	6	5	11.71	212.25024	0.47318	210.49779	
	4	5	4	9.57	218.21191	0.45839	216.74962	
	3	4	3	7.43	225.15284	0.44116	223.99434	
	2	2	2	5.29	237.05111	0.41163	236.20036	
	1	1	1	3.14	256.92917	0.36229	256.40714	
	0	0	0	1.00	402.89215	0.00000	402.51018	

MARS Selector Error Curve

MARS 1 Results; 12 Basis Functions

	Dataset:	ch3wMaster21May2012old.dta

	Predictor Variables:	AGE, GENDER, CHILDW, INC1W, INC2W, INC3W, INC4W, CATAW,
		SHJOBW, SHFAMW, SHHLW, SHFINCW, SHHOUSW, SHRELAW,
		SUPRTW, SUFAMW, SUCHRW, SMOKW, GOFERW, TRGOVW, TRREPW,
		KMACC, KMWORK, INJSELFR, INJOTHR, DEFNW, EFRADW,
		AIRW, DAFTER, TOXIC, SKIN, HEALTHEF, GOODRAD, KZCHORN,
		CHSIZE, SUICSYM, GLOBSEVE, WHPEL, MIPTSD, AVGCUMDOSEW,
		AGESQ, EDUC1, EDUC2, EDUC3, EDUC4, EDUC5, EDUC6,
		EDUC7, HAVMIL, ANXAGW1, ANXAGW2, ANXAGW3, BF1, BF4,
		BF5, BF6, BF7, BF10, BF11, BF12, BF14, BF15, BF2,
		BF4M, BF5M, BF7M, BF8, BF15M, BF17, BF20, BF22, BF29,
		BF30, BF40, CHILDW_mis, SHJOBW_mis, SHFAMW_mis, SHFINCW_mis,
		SHHOUSW_mis, SHRELAW_mis, SUPRTW_mis, SUFAMW_mis,
		SUCHRW_mis, SMOKW_mis, GOFERW_mis, TRGOVW_mis, TRREPW_mis,
		DEFNW_mis, AIRW_mis, DAFTER_mis, SKIN_mis, BF12_mis,
		BF14_mis, BF15_mis

		Target Variable WHPEL
N: 2,109 		Minimum0.00000 	Maximum:  100.00000 
Mean:   27.65519 		Varience:   1063.82611 

		Variables, Terms, and Parameters
Direct variables: 7 		Total variables: 8 
Terms in model: 13 		Effective parameters: 25.00 

		R-Square Measures
Naive: 0.41909 		Naive adjusted: 0.41576 	GCV R-square: 0.40563 

		Mean-Square Measures
Naive MSE: 621.52974 		MARS GCV: 632.60752 

Basis Functions

		Basis Functions
 BF1 = max(0, BF4M - 12);
 BF2 = max(0, 12 - BF4M);
 BF3 = max(0, GLOBSEVE - 0.264151);
 BF4 = max(0, 0.264151 - GLOBSEVE);
 BF5 = max(0, AGE - 60);
 BF7 = (SUPRTW ne . );
 BF9 = max(0, SUPRTW - 5) * BF7;
 BF10 = max(0, 5 - SUPRTW) * BF7;
 BF11 = max(0, KMACC - 60);
 BF12 = max(0, 60 - KMACC);
 BF13 = max(0, MIPTSD - 49);
 BF14 = max(0, 49 - MIPTSD);
 BF15 = max(0, BF5 + 1.93917E-006);

 Y = 66.3623 - 2.84593 * BF1 - 1.17892 * BF2 + 15.3267 * BF3 
             - 35.9861 * BF4 + 1.06253 * BF5 - 0.126519 * BF9 
             - 2.57107 * BF10 - 0.0140379 * BF11 - 0.261349 * BF12 
             - 0.341097 * BF13 - 0.665962 * BF14 
             - 0.0772123 * BF15;

 MODEL WHPEL = BF1 BF2 BF3 BF4 BF5 BF9 BF10 BF11 BF12 BF13 BF14 
               BF15;

Anova Data
	Function	Standard
Deviation	Mars Prediction Success
Threshold Table   	No of basis
Functions	No of Effective
Parameters	Variables	
	1	11.95186	689.81622	2	4.000	BF4M	
	2	9.09650	656.50390	2	4.000	GLOBSEVE	
	3	3.83360	645.38485	1	2.000	AGE	
	4	3.11265	639.86932	2	4.000	KMACC	
	5	3.32024	639.86417	2	4.000	MIPTSD	
	6	2.78880	638.24086	1	2.000	BF5	
	7	3.49426	642.37137	2	4.000	SUPRTW, SUPRTW_mis	

Final Model
	Basis
Function	Coefficient	Variable	Sign	Parent
Sign	Parent	Knot	
	0	66.3623						
	1	-2.8459	BF4M	+			12.0000	
	2	-1.1789	BF4M	-			12.0000	
	3	15.3267	GLOBSEVE	+			0.2642	
	4	-35.9861	GLOBSEVE	-			0.2642	
	5	1.0625	AGE	+			60.0000	
	9	-0.1265	SUPRTW	-	-	SUPRTW_mis	5.0000	
	10	-2.5711	SUPRTW	+	-	SUPRTW_mis	5.0000	
	11	-0.0140	KMACC	-			60.0000	
	12	-0.2613	KMACC	+			60.0000	
	13	-0.3411	MIPTSD	-			49.0000	
	14	-0.6660	MIPTSD	+			49.0000	
	15	-0.0772	BF5	-			-0.0000	

MARS Learn Gains

Gains Data
Bin	Target
Bin Avg.	% Target
in Bin	Cum % Target
in Bin	Cum %
Pop	% 
Pop	Cases
in Bin	Cum
Lift	Lift
Pop	
1	73.335	21.25	21.25	8.01	8.01	169	2.65	2.65	
2	52.572	15.50	36.75	16.17	8.16	172	2.27	1.90	
3	47.622	13.64	50.39	24.09	7.92	167	2.09	1.72	
4	38.906	11.07	61.46	31.96	7.87	166	1.92	1.41	
5	32.332	8.54	70.00	39.26	7.30	154	1.78	1.17	
6	30.526	7.64	77.64	46.18	6.92	146	1.68	1.10	
7	24.726	5.94	83.57	52.82	6.64	140	1.58	0.89	
8	21.855	5.17	88.75	59.36	6.54	138	1.49	0.79	
9	17.648	4.05	92.80	65.72	6.35	134	1.41	0.64	
10	14.298	3.46	96.26	72.40	6.69	141	1.33	0.52	
11	6.634	1.56	97.81	78.90	6.50	137	1.24	0.24	
12	5.676	1.43	99.25	85.87	6.97	147	1.16	0.21	
13	1.940	0.49	99.73	92.79	6.92	146	1.07	0.07	
14	1.032	0.27	100.00	100.00	7.21	152	1.00	0.04	

Variable Importance
Variable	Score	 	
BF4M	100.00	||||||||||||||||||||||||||||||||||||||||||	
GLOBSEVE	64.63	|||||||||||||||||||||||||||	
AGE	47.26	|||||||||||||||||||	
SUPRTW_mis	41.31	|||||||||||||||||	
SUPRTW	41.31	|||||||||||||||||	
KMACC	35.63	||||||||||||||	
MIPTSD	35.62	||||||||||||||	
BF5	31.38	||||||||||||	

MARS 4 Results

	Dataset:	ch3wMaster21May2012old.dta

	Predictor Variables:	EMPLW, WAVE, AGE, GENDER, CHILDW, OCC1W, OCC2W, OCC3W,
		OCC4W, OCC5W, OCC6W, OCC7W, OCC8W, INC1W, INC2W,
		INC3W, INC4W, DEAW, DVCEW, SEPAW, CATAW, ILLW, SHJOBW,
		SHFAMW, SHHLW, SHFINCW, SHHOUSW, SHRELAW, SUPRTW,
		SUFAMW, SUCHRW, CONTW, NCONTW, SMOKW, PILLW, MEDCOW,
		GOFERW, FDFERW, TRGOVW, TRREPW, KMACC, KMWORK, INJSELFR,
		INJOTHR, EVACSELFR, RELSELFR, DEFNW, EFRADW, POLPRW,
		AIRW, RADCHW, RADLTW, RADHLW, DAFTER, DAUTHW, MEDW,
		NEIW, TOXIC, SKIN, NEAR, CLOUD, HEALTHEF, WOMAN,
		SAFERAD, GOODRAD, KZCHORN, CHSIZE, SUICSYM, GLOBSEVE,
		CSPRBSLV, CSSOCSPT, CSAVOID, WHPPAIN, HP2WORK, HP2HMCARE,
		HP2PROBSOC, HP2PBFHM, HP2SXLIFE, HP2INTHOB, HP2VACATN,
		MIPTSD, AVGCUMDOSEW, AGESQ, EDUC1, EDUC2, EDUC3,
		EDUC4, EDUC5, EDUC6, EDUC7, HAVMIL, DEPAGW1, DEPAGW2,
		ANXAGW1, ANXAGW2, ANXAGW3, PHYSDISAGW1, PHYSDISAGW2,
		PHYSDISAGW3, PTSDW1, PTSDW2, PTSDW3, BF1, BF4, BF5,
		BF6, BF7, BF10, BF11, BF12, BF14, BF15, BF2, BF4M,
		BF5M, BF7M, BF8, BF15M, BF17, BF20, BF22, BF29, BF30,
		BF40, CHILDW_mis, SHJOBW_mis, SHFAMW_mis, SHFINCW_mis,
		SHHOUSW_mis, SHRELAW_mis, SUPRTW_mis, SUFAMW_mis,
		SUCHRW_mis, SMOKW_mis, MEDCOW_mis, GOFERW_mis, TRGOVW_mis,
		TRREPW_mis, DEFNW_mis, AIRW_mis, RADLTW_mis, RADHLW_mis,
		DAFTER_mis, DAUTHW_mis, SKIN_mis, CSPRBSLV_mis, CSAVOID_mis,
		BF12_mis, BF14_mis, BF15_mis

MARS 4 Results
Model Sequence
	Basis
Functions	N
Predictors	N
Inputs	Effective
Parameters	    GCV    	GCV R-Square	Train MSE	
	14	9	8	31.00	198.67318	0.50688	194.25718	
	**13	9	8	28.86	198.36379	0.50765	194.26211	
	12	9	8	26.71	198.46721	0.50739	194.67113	
	11	9	8	24.57	199.07105	0.50589	195.57221	
	10	9	8	22.43	200.67015	0.50193	197.45459	
	9	9	8	20.29	202.04286	0.49852	199.11893	
	8	8	7	18.14	203.64739	0.49454	201.01650	
	7	7	6	16.00	205.45783	0.49004	203.12272	
	6	7	6	13.86	207.99046	0.48376	205.94982	
	5	6	5	11.71	212.25024	0.47318	210.49779	
	4	5	4	9.57	218.21191	0.45839	216.74962	
	3	4	3	7.43	225.15284	0.44116	223.99434	
	2	2	2	5.29	237.05111	0.41163	236.20036	
	1	1	1	3.14	256.92917	0.36229	256.40714	
	0	0	0	1.00	402.89215	0.00000	402.51018	

MARS Selector Error Curve

MARS 2 Results

	Dataset:	ch3wMaster21May2012old.dta

	Predictor Variables:	AGE, GENDER, CHILDW, INC1W, INC2W, INC3W, INC4W, CATAW,
		SHJOBW, SHFAMW, SHHLW, SHFINCW, SHHOUSW, SHRELAW,
		SUPRTW, SUFAMW, SUCHRW, SMOKW, GOFERW, TRGOVW, TRREPW,
		KMACC, KMWORK, INJSELFR, INJOTHR, DEFNW, EFRADW,
		AIRW, DAFTER, TOXIC, SKIN, HEALTHEF, GOODRAD, KZCHORN,
		CHSIZE, SUICSYM, GLOBSEVE, WHPEL, MIPTSD, AVGCUMDOSEW,
		AGESQ, EDUC1, EDUC2, EDUC3, EDUC4, EDUC5, EDUC6,
		EDUC7, HAVMIL, ANXAGW1, ANXAGW2, ANXAGW3, BF1, BF4,
		BF5, BF6, BF7, BF10, BF11, BF12, BF14, BF15, BF2,
		BF4M, BF5M, BF7M, BF8, BF15M, BF17, BF20, BF22, BF29,
		BF30, BF40, CHILDW_mis, SHJOBW_mis, SHFAMW_mis, SHFINCW_mis,
		SHHOUSW_mis, SHRELAW_mis, SUPRTW_mis, SUFAMW_mis,
		SUCHRW_mis, SMOKW_mis, GOFERW_mis, TRGOVW_mis, TRREPW_mis,
		DEFNW_mis, AIRW_mis, DAFTER_mis, SKIN_mis, BF12_mis,
		BF14_mis, BF15_mis

MARS 2 Results
Model Sequence
	Basis
Functions	N
Predictors	N
Inputs	Effective
Parameters	    GCV    	GCV R-Square	Train MSE	
	14	8	7	29.00	634.56939	0.40379	621.65943	
	13	8	7	27.00	633.54164	0.40475	621.54989	
	**12	8	7	25.00	632.60752	0.40563	621.52974	
	11	8	7	23.00	634.11120	0.40422	623.90579	
	10	8	7	21.00	635.92679	0.40251	626.59372	
	9	8	7	19.00	640.89069	0.39785	632.39366	
	8	7	6	17.00	645.73180	0.39330	638.08665	
	7	6	5	15.00	649.39260	0.38986	642.62565	
	6	6	5	13.00	655.86811	0.38377	649.96471	
	5	4	4	11.00	657.84895	0.38191	652.86186	
	4	3	3	9.00	664.55631	0.37561	660.46234	
	3	3	3	7.00	674.99744	0.36580	671.79825	
	2	2	2	5.00	686.01101	0.35545	683.73468	
	1	1	1	3.00	698.28921	0.34392	696.96496	
	0	0	0	1.00	1,064.33081	0.00000	1,063.32169	

MARS Selector Error Curve

MARS 1 Results

	Dataset:	ch3wMaster21May2012old.dta

	Predictor Variables:	AGE, GENDER, CHILDW, INC1W, INC2W, INC3W, INC4W, CATAW,
		SHJOBW, SHFAMW, SHHLW, SHFINCW, SHHOUSW, SHRELAW,
		SUPRTW, SUFAMW, SUCHRW, SMOKW, GOFERW, TRGOVW, TRREPW,
		KMACC, KMWORK, INJSELFR, INJOTHR, DEFNW, EFRADW,
		AIRW, DAFTER, TOXIC, SKIN, HEALTHEF, GOODRAD, KZCHORN,
		CHSIZE, SUICSYM, GLOBSEVE, WHPEL, MIPTSD, AVGCUMDOSEW,
		AGESQ, EDUC1, EDUC2, EDUC3, EDUC4, EDUC5, EDUC6,
		EDUC7, HAVMIL, ANXAGW1, ANXAGW2, ANXAGW3, BF1, BF4,
		BF5, BF6, BF7, BF10, BF11, BF12, BF14, BF15, BF2,
		BF4M, BF5M, BF7M, BF8, BF15M, BF17, BF20, BF22, BF29,
		BF30, BF40, CHILDW_mis, SHJOBW_mis, SHFAMW_mis, SHFINCW_mis,
		SHHOUSW_mis, SHRELAW_mis, SUPRTW_mis, SUFAMW_mis,
		SUCHRW_mis, SMOKW_mis, GOFERW_mis, TRGOVW_mis, TRREPW_mis,
		DEFNW_mis, AIRW_mis, DAFTER_mis, SKIN_mis, BF12_mis,
		BF14_mis, BF15_mis

MARS 1 Results
Model Sequence
	Basis
Functions	N
Predictors	N
Inputs	Effective
Parameters	    GCV    	GCV R-Square	Train MSE	
	14	8	7	29.00	634.56939	0.40379	621.65943	
	13	8	7	27.00	633.54164	0.40475	621.54989	
	**12	8	7	25.00	632.60752	0.40563	621.52974	
	11	8	7	23.00	634.11120	0.40422	623.90579	
	10	8	7	21.00	635.92679	0.40251	626.59372	
	9	8	7	19.00	640.89069	0.39785	632.39366	
	8	7	6	17.00	645.73180	0.39330	638.08665	
	7	6	5	15.00	649.39260	0.38986	642.62565	
	6	6	5	13.00	655.86811	0.38377	649.96471	
	5	4	4	11.00	657.84895	0.38191	652.86186	
	4	3	3	9.00	664.55631	0.37561	660.46234	
	3	3	3	7.00	674.99744	0.36580	671.79825	
	2	2	2	5.00	686.01101	0.35545	683.73468	
	1	1	1	3.00	698.28921	0.34392	696.96496	
	0	0	0	1.00	1,064.33081	0.00000	1,063.32169	

MARS Selector Error Curve

MARS 5 Results

	Dataset:	ch3wMaster21May2012old.dta

	Predictor Variables:	EMPLW, WAVE, AGE, GENDER, CHILDW, OCC1W, OCC2W, OCC3W,
		OCC4W, OCC5W, OCC6W, OCC7W, OCC8W, INC1W, INC2W,
		INC3W, INC4W, DEAW, DVCEW, SEPAW, CATAW, ILLW, SHJOBW,
		SHFAMW, SHHLW, SHFINCW, SHHOUSW, SHRELAW, SUPRTW,
		SUFAMW, SUCHRW, CONTW, NCONTW, SMOKW, PILLW, MEDCOW,
		GOFERW, FDFERW, TRGOVW, TRREPW, KMACC, KMWORK, INJSELFR,
		INJOTHR, EVACSELFR, RELSELFR, DEFNW, EFRADW, POLPRW,
		AIRW, RADCHW, RADLTW, RADHLW, DAFTER, DAUTHW, MEDW,
		NEIW, TOXIC, SKIN, NEAR, CLOUD, HEALTHEF, WOMAN,
		SAFERAD, GOODRAD, KZCHORN, CHSIZE, SUICSYM, GLOBSEVE,
		CSPRBSLV, CSSOCSPT, CSAVOID, WHPPAIN, HP2WORK, HP2HMCARE,
		HP2PROBSOC, HP2PBFHM, HP2SXLIFE, HP2INTHOB, HP2VACATN,
		MIPTSD, AVGCUMDOSEW, AGESQ, EDUC1, EDUC2, EDUC3,
		EDUC4, EDUC5, EDUC6, EDUC7, HAVMIL, DEPAGW1, DEPAGW2,
		ANXAGW1, ANXAGW2, ANXAGW3, PHYSDISAGW1, PHYSDISAGW2,
		PHYSDISAGW3, PTSDW1, PTSDW2, PTSDW3, BF1, BF4, BF5,
		BF6, BF7, BF10, BF11, BF12, BF14, BF15, BF2, BF4M,
		BF5M, BF7M, BF8, BF15M, BF17, BF20, BF22, BF29, BF30,
		BF40, CHILDW_mis, SHJOBW_mis, SHFAMW_mis, SHFINCW_mis,
		SHHOUSW_mis, SHRELAW_mis, SUPRTW_mis, SUFAMW_mis,
		SUCHRW_mis, SMOKW_mis, MEDCOW_mis, GOFERW_mis, TRGOVW_mis,
		TRREPW_mis, DEFNW_mis, AIRW_mis, RADLTW_mis, RADHLW_mis,
		DAFTER_mis, DAUTHW_mis, SKIN_mis, CSPRBSLV_mis, CSAVOID_mis,
		BF12_mis, BF14_mis, BF15_mis

MARS 5 Results
Model Sequence
	Basis
Functions	N
Predictors	N
Inputs	Effective
Parameters	    GCV    	GCV R-Square	Train MSE	
	14	9	8	31.00	198.67318	0.50688	194.25718	
	**13	9	8	28.86	198.36379	0.50765	194.26211	
	12	9	8	26.71	198.46721	0.50739	194.67113	
	11	9	8	24.57	199.07105	0.50589	195.57221	
	10	9	8	22.43	200.67015	0.50193	197.45459	
	9	9	8	20.29	202.04286	0.49852	199.11893	
	8	8	7	18.14	203.64739	0.49454	201.01650	
	7	7	6	16.00	205.45783	0.49004	203.12272	
	6	7	6	13.86	207.99046	0.48376	205.94982	
	5	6	5	11.71	212.25024	0.47318	210.49779	
	4	5	4	9.57	218.21191	0.45839	216.74962	
	3	4	3	7.43	225.15284	0.44116	223.99434	
	2	2	2	5.29	237.05111	0.41163	236.20036	
	1	1	1	3.14	256.92917	0.36229	256.40714	
	0	0	0	1.00	402.89215	0.00000	402.51018	

MARS Selector Error Curve

MARS 5 Results; 13 Basis Functions

	Dataset:	ch3wMaster21May2012old.dta

	Predictor Variables:	EMPLW, WAVE, AGE, GENDER, CHILDW, OCC1W, OCC2W, OCC3W,
		OCC4W, OCC5W, OCC6W, OCC7W, OCC8W, INC1W, INC2W,
		INC3W, INC4W, DEAW, DVCEW, SEPAW, CATAW, ILLW, SHJOBW,
		SHFAMW, SHHLW, SHFINCW, SHHOUSW, SHRELAW, SUPRTW,
		SUFAMW, SUCHRW, CONTW, NCONTW, SMOKW, PILLW, MEDCOW,
		GOFERW, FDFERW, TRGOVW, TRREPW, KMACC, KMWORK, INJSELFR,
		INJOTHR, EVACSELFR, RELSELFR, DEFNW, EFRADW, POLPRW,
		AIRW, RADCHW, RADLTW, RADHLW, DAFTER, DAUTHW, MEDW,
		NEIW, TOXIC, SKIN, NEAR, CLOUD, HEALTHEF, WOMAN,
		SAFERAD, GOODRAD, KZCHORN, CHSIZE, SUICSYM, GLOBSEVE,
		CSPRBSLV, CSSOCSPT, CSAVOID, WHPPAIN, HP2WORK, HP2HMCARE,
		HP2PROBSOC, HP2PBFHM, HP2SXLIFE, HP2INTHOB, HP2VACATN,
		MIPTSD, AVGCUMDOSEW, AGESQ, EDUC1, EDUC2, EDUC3,
		EDUC4, EDUC5, EDUC6, EDUC7, HAVMIL, DEPAGW1, DEPAGW2,
		ANXAGW1, ANXAGW2, ANXAGW3, PHYSDISAGW1, PHYSDISAGW2,
		PHYSDISAGW3, PTSDW1, PTSDW2, PTSDW3, BF1, BF4, BF5,
		BF6, BF7, BF10, BF11, BF12, BF14, BF15, BF2, BF4M,
		BF5M, BF7M, BF8, BF15M, BF17, BF20, BF22, BF29, BF30,
		BF40, CHILDW_mis, SHJOBW_mis, SHFAMW_mis, SHFINCW_mis,
		SHHOUSW_mis, SHRELAW_mis, SUPRTW_mis, SUFAMW_mis,
		SUCHRW_mis, SMOKW_mis, MEDCOW_mis, GOFERW_mis, TRGOVW_mis,
		TRREPW_mis, DEFNW_mis, AIRW_mis, RADLTW_mis, RADHLW_mis,
		DAFTER_mis, DAUTHW_mis, SKIN_mis, CSPRBSLV_mis, CSAVOID_mis,
		BF12_mis, BF14_mis, BF15_mis

		Target Variable WHPPAIN
N: 2,109 		Minimum0.00000 	Maximum:  82.75000 
Mean:   14.22373 		Varience:   402.70113 

		Variables, Terms, and Parameters
Direct variables: 8 		Total variables: 9 
Terms in model: 14 		Effective parameters: 28.86 

		R-Square Measures
Naive: 0.52058 		Naive adjusted: 0.51760 	GCV R-square: 0.50765 

		Mean-Square Measures
Naive MSE: 194.26211 		MARS GCV: 198.36379 

Basis Functions

		Basis Functions
 BF1 = max(0, BF4 - 1);
 BF2 = max(0, 1 - BF4);
 BF3 = max(0, HP2HMCARE + 4.08582E-009);
 BF4 = max(0, GLOBSEVE - 0.962264);
 BF6 = max(0, HP2PROBSOC - 3.77224E-009);
 BF7 = (CSAVOID ne . );
 BF9 = max(0, CSAVOID - 23) * BF7;
 BF10 = max(0, 23 - CSAVOID) * BF7;
 BF11 = max(0, BF5M - 600) * BF7;
 BF12 = max(0, 600 - BF5M) * BF7;
 BF13 = max(0, PHYSDISAGW1 - 80) * BF7;
 BF14 = max(0, 80 - PHYSDISAGW1) * BF7;
 BF15 = max(0, EDUC2 - 1.21384E-009) * BF7;

 Y = 13.673 - 1.4851 * BF1 - 8.88241 * BF2 + 8.217 * BF3 
            + 18.3173 * BF4 + 8.96926 * BF6 + 23.5098 * BF7 
            - 2.66309 * BF9 - 0.520383 * BF10 - 0.22162 * BF11 
            - 0.0124914 * BF12 - 0.636724 * BF13 
            - 0.0428105 * BF14 + 7.34594 * BF15;

 MODEL WHPPAIN = BF1 BF2 BF3 BF4 BF6 BF7 BF9 BF10 BF11 BF12 BF13 
                 BF14 BF15;

Anova Data
	Function	Standard
Deviation	Mars Prediction Success
Threshold Table   	No of basis
Functions	No of Effective
Parameters	Variables	
	1	6.68168	220.73224	2	4.286	BF4	
	2	3.67881	206.81939	1	2.143	HP2HMCARE	
	3	4.81247	209.79401	1	2.143	GLOBSEVE	
	4	3.31771	205.01757	1	2.143	HP2PROBSOC	
	5	1.76833	200.71343	1	2.143	CSAVOID_mis	
	6	2.16264	201.86057	2	4.286	CSAVOID, CSAVOID_mis	
	7	2.36270	202.83234	2	4.286	BF5M, CSAVOID_mis	
	8	2.25017	201.54172	2	4.286	PHYSDISAGW1, CSAVOID_mis	
	9	1.59777	200.46957	1	2.143	EDUC2, CSAVOID_mis	

Final Model
	Basis
Function	Coefficient	Variable	Sign	Parent
Sign	Parent	Knot	
	0	13.6730						
	1	-1.4851	BF4	+			1.0000	
	2	-8.8824	BF4	-			1.0000	
	3	8.2170	HP2HMCARE	+			-0.0000	
	4	18.3173	GLOBSEVE	+			0.9623	
	6	8.9693	HP2PROBSOC	-			0.0000	
	7	23.5098	CSAVOID_mis	+			SubSet1	
	9	-2.6631	CSAVOID	+	-	CSAVOID_mis	23.0000	
	10	-0.5204	CSAVOID	-	-	CSAVOID_mis	23.0000	
	11	-0.2216	BF5M	+	+	CSAVOID_mis	600.0000	
	12	-0.0125	BF5M	-	+	CSAVOID_mis	600.0000	
	13	-0.6367	PHYSDISAGW1	+	+	CSAVOID_mis	80.0000	
	14	-0.0428	PHYSDISAGW1	-	+	CSAVOID_mis	80.0000	
	15	7.3459	EDUC2	+	+	CSAVOID_mis	0.0000	

MARS Learn Gains

Gains Data
Bin	Target
Bin Avg.	% Target
in Bin	Cum % Target
in Bin	Cum %
Pop	% 
Pop	Cases
in Bin	Cum
Lift	Lift
Pop	
1	47.823	30.13	30.13	8.96	8.96	189	3.36	3.36	
2	31.097	19.90	50.03	18.07	9.10	192	2.77	2.19	
3	25.745	17.51	67.54	27.74	9.67	204	2.43	1.81	
4	16.841	11.28	78.83	37.27	9.53	201	2.12	1.18	
5	12.218	8.31	87.14	46.94	9.67	204	1.86	0.86	
6	8.915	6.24	93.38	56.90	9.96	210	1.64	0.63	
7	3.732	2.69	96.06	67.14	10.24	216	1.43	0.26	
8	2.134	1.62	97.69	77.95	10.81	228	1.25	0.15	
9	1.657	1.31	98.99	89.19	11.24	237	1.11	0.12	
10	1.323	1.01	100.00	100.00	10.81	228	1.00	0.09	

Variable Importance
Variable	Score	 	
BF4	100.00	||||||||||||||||||||||||||||||||||||||||||	
CSAVOID_mis	83.35	|||||||||||||||||||||||||||||||||||	
GLOBSEVE	71.48	||||||||||||||||||||||||||||||	
HP2HMCARE	61.48	|||||||||||||||||||||||||	
HP2PROBSOC	54.54	||||||||||||||||||||||	
BF5M	44.70	||||||||||||||||||	
CSAVOID	39.54	||||||||||||||||	
PHYSDISAGW1	37.69	|||||||||||||||	
EDUC2	30.68	||||||||||||	

MARS 5 Results; 13 Basis Functions

	Dataset:	ch3wMaster21May2012old.dta

	Predictor Variables:	EMPLW, WAVE, AGE, GENDER, CHILDW, OCC1W, OCC2W, OCC3W,
		OCC4W, OCC5W, OCC6W, OCC7W, OCC8W, INC1W, INC2W,
		INC3W, INC4W, DEAW, DVCEW, SEPAW, CATAW, ILLW, SHJOBW,
		SHFAMW, SHHLW, SHFINCW, SHHOUSW, SHRELAW, SUPRTW,
		SUFAMW, SUCHRW, CONTW, NCONTW, SMOKW, PILLW, MEDCOW,
		GOFERW, FDFERW, TRGOVW, TRREPW, KMACC, KMWORK, INJSELFR,
		INJOTHR, EVACSELFR, RELSELFR, DEFNW, EFRADW, POLPRW,
		AIRW, RADCHW, RADLTW, RADHLW, DAFTER, DAUTHW, MEDW,
		NEIW, TOXIC, SKIN, NEAR, CLOUD, HEALTHEF, WOMAN,
		SAFERAD, GOODRAD, KZCHORN, CHSIZE, SUICSYM, GLOBSEVE,
		CSPRBSLV, CSSOCSPT, CSAVOID, WHPPAIN, HP2WORK, HP2HMCARE,
		HP2PROBSOC, HP2PBFHM, HP2SXLIFE, HP2INTHOB, HP2VACATN,
		MIPTSD, AVGCUMDOSEW, AGESQ, EDUC1, EDUC2, EDUC3,
		EDUC4, EDUC5, EDUC6, EDUC7, HAVMIL, DEPAGW1, DEPAGW2,
		ANXAGW1, ANXAGW2, ANXAGW3, PHYSDISAGW1, PHYSDISAGW2,
		PHYSDISAGW3, PTSDW1, PTSDW2, PTSDW3, BF1, BF4, BF5,
		BF6, BF7, BF10, BF11, BF12, BF14, BF15, BF2, BF4M,
		BF5M, BF7M, BF8, BF15M, BF17, BF20, BF22, BF29, BF30,
		BF40, CHILDW_mis, SHJOBW_mis, SHFAMW_mis, SHFINCW_mis,
		SHHOUSW_mis, SHRELAW_mis, SUPRTW_mis, SUFAMW_mis,
		SUCHRW_mis, SMOKW_mis, MEDCOW_mis, GOFERW_mis, TRGOVW_mis,
		TRREPW_mis, DEFNW_mis, AIRW_mis, RADLTW_mis, RADHLW_mis,
		DAFTER_mis, DAUTHW_mis, SKIN_mis, CSPRBSLV_mis, CSAVOID_mis,
		BF12_mis, BF14_mis, BF15_mis

		Target Variable WHPPAIN
N: 2,109 		Minimum0.00000 	Maximum:  82.75000 
Mean:   14.22373 		Varience:   402.70113 

		Variables, Terms, and Parameters
Direct variables: 8 		Total variables: 9 
Terms in model: 14 		Effective parameters: 28.86 

		R-Square Measures
Naive: 0.52058 		Naive adjusted: 0.51760 	GCV R-square: 0.50765 

		Mean-Square Measures
Naive MSE: 194.26211 		MARS GCV: 198.36379 

Basis Functions

		Basis Functions
 BF1 = max(0, BF4 - 1);
 BF2 = max(0, 1 - BF4);
 BF3 = max(0, HP2HMCARE + 4.08582E-009);
 BF4 = max(0, GLOBSEVE - 0.962264);
 BF6 = max(0, HP2PROBSOC - 3.77224E-009);
 BF7 = (CSAVOID ne . );
 BF9 = max(0, CSAVOID - 23) * BF7;
 BF10 = max(0, 23 - CSAVOID) * BF7;
 BF11 = max(0, BF5M - 600) * BF7;
 BF12 = max(0, 600 - BF5M) * BF7;
 BF13 = max(0, PHYSDISAGW1 - 80) * BF7;
 BF14 = max(0, 80 - PHYSDISAGW1) * BF7;
 BF15 = max(0, EDUC2 - 1.21384E-009) * BF7;

 Y = 13.673 - 1.4851 * BF1 - 8.88241 * BF2 + 8.217 * BF3 
            + 18.3173 * BF4 + 8.96926 * BF6 + 23.5098 * BF7 
            - 2.66309 * BF9 - 0.520383 * BF10 - 0.22162 * BF11 
            - 0.0124914 * BF12 - 0.636724 * BF13 
            - 0.0428105 * BF14 + 7.34594 * BF15;

 MODEL WHPPAIN = BF1 BF2 BF3 BF4 BF6 BF7 BF9 BF10 BF11 BF12 BF13 
                 BF14 BF15;

Anova Data
	Function	Standard
Deviation	Mars Prediction Success
Threshold Table   	No of basis
Functions	No of Effective
Parameters	Variables	
	1	6.68168	220.73224	2	4.286	BF4	
	2	3.67881	206.81939	1	2.143	HP2HMCARE	
	3	4.81247	209.79401	1	2.143	GLOBSEVE	
	4	3.31771	205.01757	1	2.143	HP2PROBSOC	
	5	1.76833	200.71343	1	2.143	CSAVOID_mis	
	6	2.16264	201.86057	2	4.286	CSAVOID, CSAVOID_mis	
	7	2.36270	202.83234	2	4.286	BF5M, CSAVOID_mis	
	8	2.25017	201.54172	2	4.286	PHYSDISAGW1, CSAVOID_mis	
	9	1.59777	200.46957	1	2.143	EDUC2, CSAVOID_mis	

Final Model
	Basis
Function	Coefficient	Variable	Sign	Parent
Sign	Parent	Knot	
	0	13.6730						
	1	-1.4851	BF4	+			1.0000	
	2	-8.8824	BF4	-			1.0000	
	3	8.2170	HP2HMCARE	+			-0.0000	
	4	18.3173	GLOBSEVE	+			0.9623	
	6	8.9693	HP2PROBSOC	-			0.0000	
	7	23.5098	CSAVOID_mis	+			SubSet1	
	9	-2.6631	CSAVOID	+	-	CSAVOID_mis	23.0000	
	10	-0.5204	CSAVOID	-	-	CSAVOID_mis	23.0000	
	11	-0.2216	BF5M	+	+	CSAVOID_mis	600.0000	
	12	-0.0125	BF5M	-	+	CSAVOID_mis	600.0000	
	13	-0.6367	PHYSDISAGW1	+	+	CSAVOID_mis	80.0000	
	14	-0.0428	PHYSDISAGW1	-	+	CSAVOID_mis	80.0000	
	15	7.3459	EDUC2	+	+	CSAVOID_mis	0.0000	

MARS Learn Gains

Gains Data
Bin	Target
Bin Avg.	% Target
in Bin	Cum % Target
in Bin	Cum %
Pop	% 
Pop	Cases
in Bin	Cum
Lift	Lift
Pop	
1	47.823	30.13	30.13	8.96	8.96	189	3.36	3.36	
2	31.097	19.90	50.03	18.07	9.10	192	2.77	2.19	
3	25.745	17.51	67.54	27.74	9.67	204	2.43	1.81	
4	16.841	11.28	78.83	37.27	9.53	201	2.12	1.18	
5	12.218	8.31	87.14	46.94	9.67	204	1.86	0.86	
6	8.915	6.24	93.38	56.90	9.96	210	1.64	0.63	
7	3.732	2.69	96.06	67.14	10.24	216	1.43	0.26	
8	2.134	1.62	97.69	77.95	10.81	228	1.25	0.15	
9	1.657	1.31	98.99	89.19	11.24	237	1.11	0.12	
10	1.323	1.01	100.00	100.00	10.81	228	1.00	0.09	

Variable Importance
Variable	Score	 	
BF4	100.00	||||||||||||||||||||||||||||||||||||||||||	
CSAVOID_mis	83.35	|||||||||||||||||||||||||||||||||||	
GLOBSEVE	71.48	||||||||||||||||||||||||||||||	
HP2HMCARE	61.48	|||||||||||||||||||||||||	
HP2PROBSOC	54.54	||||||||||||||||||||||	
BF5M	44.70	||||||||||||||||||	
CSAVOID	39.54	||||||||||||||||	
PHYSDISAGW1	37.69	|||||||||||||||	
EDUC2	30.68	||||||||||||	

MARS 6 Results

	Dataset:	ch3wMaster21May2012old.dta

	Predictor Variables:	EMPLW, WAVE, AGE, GENDER, CHILDW, OCC1W, OCC2W, OCC3W,
		OCC4W, OCC5W, OCC6W, OCC7W, OCC8W, INC1W, INC2W,
		INC3W, INC4W, DEAW, DVCEW, SEPAW, CATAW, ILLW, SHJOBW,
		SHFAMW, SHHLW, SHFINCW, SHHOUSW, SHRELAW, SUPRTW,
		SUFAMW, SUCHRW, CONTW, NCONTW, SMOKW, PILLW, MEDCOW,
		GOFERW, FDFERW, TRGOVW, TRREPW, KMACC, KMWORK, INJSELFR,
		INJOTHR, EVACSELFR, RELSELFR, DEFNW, EFRADW, POLPRW,
		AIRW, RADCHW, RADLTW, RADHLW, DAFTER, DAUTHW, MEDW,
		NEIW, TOXIC, SKIN, NEAR, CLOUD, HEALTHEF, WOMAN,
		SAFERAD, GOODRAD, KZCHORN, CHSIZE, SUICSYM, GLOBSEVE,
		CSPRBSLV, CSSOCSPT, CSAVOID, WHPPAIN, HP2WORK, HP2HMCARE,
		HP2PROBSOC, HP2PBFHM, HP2SXLIFE, HP2INTHOB, HP2VACATN,
		MIPTSD, AVGCUMDOSEW, AGESQ, EDUC1, EDUC2, EDUC3,
		EDUC4, EDUC5, EDUC6, EDUC7, HAVMIL, DEPAGW1, DEPAGW2,
		ANXAGW1, ANXAGW2, ANXAGW3, PHYSDISAGW1, PHYSDISAGW2,
		PHYSDISAGW3, PTSDW1, PTSDW2, PTSDW3, BF1, BF4, BF5,
		BF6, BF7, BF10, BF11, BF12, BF14, BF15, BF2, BF4M,
		BF5M, BF7M, BF8, BF15M, BF17, BF20, BF22, BF29, BF30,
		BF40, CHILDW_mis, SHJOBW_mis, SHFAMW_mis, SHFINCW_mis,
		SHHOUSW_mis, SHRELAW_mis, SUPRTW_mis, SUFAMW_mis,
		SUCHRW_mis, SMOKW_mis, MEDCOW_mis, GOFERW_mis, TRGOVW_mis,
		TRREPW_mis, DEFNW_mis, AIRW_mis, RADLTW_mis, RADHLW_mis,
		DAFTER_mis, DAUTHW_mis, SKIN_mis, CSPRBSLV_mis, CSAVOID_mis,
		BF12_mis, BF14_mis, BF15_mis

MARS 6 Results
Model Sequence
	Basis
Functions	N
Predictors	N
Inputs	Effective
Parameters	    GCV    	GCV R-Square	Train MSE	
	14	9	8	31.00	198.67318	0.50688	194.25718	
	**13	9	8	28.86	198.36379	0.50765	194.26211	
	12	9	8	26.71	198.46721	0.50739	194.67113	
	11	9	8	24.57	199.07105	0.50589	195.57221	
	10	9	8	22.43	200.67015	0.50193	197.45459	
	9	9	8	20.29	202.04286	0.49852	199.11893	
	8	8	7	18.14	203.64739	0.49454	201.01650	
	7	7	6	16.00	205.45783	0.49004	203.12272	
	6	7	6	13.86	207.99046	0.48376	205.94982	
	5	6	5	11.71	212.25024	0.47318	210.49779	
	4	5	4	9.57	218.21191	0.45839	216.74962	
	3	4	3	7.43	225.15284	0.44116	223.99434	
	2	2	2	5.29	237.05111	0.41163	236.20036	
	1	1	1	3.14	256.92917	0.36229	256.40714	
	0	0	0	1.00	402.89215	0.00000	402.51018	

MARS Selector Error Curve

MARS 6 Results; 13 Basis Functions

	Dataset:	ch3wMaster21May2012old.dta

	Predictor Variables:	EMPLW, WAVE, AGE, GENDER, CHILDW, OCC1W, OCC2W, OCC3W,
		OCC4W, OCC5W, OCC6W, OCC7W, OCC8W, INC1W, INC2W,
		INC3W, INC4W, DEAW, DVCEW, SEPAW, CATAW, ILLW, SHJOBW,
		SHFAMW, SHHLW, SHFINCW, SHHOUSW, SHRELAW, SUPRTW,
		SUFAMW, SUCHRW, CONTW, NCONTW, SMOKW, PILLW, MEDCOW,
		GOFERW, FDFERW, TRGOVW, TRREPW, KMACC, KMWORK, INJSELFR,
		INJOTHR, EVACSELFR, RELSELFR, DEFNW, EFRADW, POLPRW,
		AIRW, RADCHW, RADLTW, RADHLW, DAFTER, DAUTHW, MEDW,
		NEIW, TOXIC, SKIN, NEAR, CLOUD, HEALTHEF, WOMAN,
		SAFERAD, GOODRAD, KZCHORN, CHSIZE, SUICSYM, GLOBSEVE,
		CSPRBSLV, CSSOCSPT, CSAVOID, WHPPAIN, HP2WORK, HP2HMCARE,
		HP2PROBSOC, HP2PBFHM, HP2SXLIFE, HP2INTHOB, HP2VACATN,
		MIPTSD, AVGCUMDOSEW, AGESQ, EDUC1, EDUC2, EDUC3,
		EDUC4, EDUC5, EDUC6, EDUC7, HAVMIL, DEPAGW1, DEPAGW2,
		ANXAGW1, ANXAGW2, ANXAGW3, PHYSDISAGW1, PHYSDISAGW2,
		PHYSDISAGW3, PTSDW1, PTSDW2, PTSDW3, BF1, BF4, BF5,
		BF6, BF7, BF10, BF11, BF12, BF14, BF15, BF2, BF4M,
		BF5M, BF7M, BF8, BF15M, BF17, BF20, BF22, BF29, BF30,
		BF40, CHILDW_mis, SHJOBW_mis, SHFAMW_mis, SHFINCW_mis,
		SHHOUSW_mis, SHRELAW_mis, SUPRTW_mis, SUFAMW_mis,
		SUCHRW_mis, SMOKW_mis, MEDCOW_mis, GOFERW_mis, TRGOVW_mis,
		TRREPW_mis, DEFNW_mis, AIRW_mis, RADLTW_mis, RADHLW_mis,
		DAFTER_mis, DAUTHW_mis, SKIN_mis, CSPRBSLV_mis, CSAVOID_mis,
		BF12_mis, BF14_mis, BF15_mis

		Target Variable WHPPAIN
N: 2,109 		Minimum0.00000 	Maximum:  82.75000 
Mean:   14.22373 		Varience:   402.70113 

		Variables, Terms, and Parameters
Direct variables: 8 		Total variables: 9 
Terms in model: 14 		Effective parameters: 28.86 

		R-Square Measures
Naive: 0.52058 		Naive adjusted: 0.51760 	GCV R-square: 0.50765 

		Mean-Square Measures
Naive MSE: 194.26211 		MARS GCV: 198.36379 

Basis Functions

		Basis Functions
 BF1 = max(0, BF4 - 1);
 BF2 = max(0, 1 - BF4);
 BF3 = max(0, HP2HMCARE + 4.08582E-009);
 BF4 = max(0, GLOBSEVE - 0.962264);
 BF6 = max(0, HP2PROBSOC - 3.77224E-009);
 BF7 = (CSAVOID ne . );
 BF9 = max(0, CSAVOID - 23) * BF7;
 BF10 = max(0, 23 - CSAVOID) * BF7;
 BF11 = max(0, BF5M - 600) * BF7;
 BF12 = max(0, 600 - BF5M) * BF7;
 BF13 = max(0, PHYSDISAGW1 - 80) * BF7;
 BF14 = max(0, 80 - PHYSDISAGW1) * BF7;
 BF15 = max(0, EDUC2 - 1.21384E-009) * BF7;

 Y = 13.673 - 1.4851 * BF1 - 8.88241 * BF2 + 8.217 * BF3 
            + 18.3173 * BF4 + 8.96926 * BF6 + 23.5098 * BF7 
            - 2.66309 * BF9 - 0.520383 * BF10 - 0.22162 * BF11 
            - 0.0124914 * BF12 - 0.636724 * BF13 
            - 0.0428105 * BF14 + 7.34594 * BF15;

 MODEL WHPPAIN = BF1 BF2 BF3 BF4 BF6 BF7 BF9 BF10 BF11 BF12 BF13 
                 BF14 BF15;

Anova Data
	Function	Standard
Deviation	Mars Prediction Success
Threshold Table   	No of basis
Functions	No of Effective
Parameters	Variables	
	1	6.68168	220.73224	2	4.286	BF4	
	2	3.67881	206.81939	1	2.143	HP2HMCARE	
	3	4.81247	209.79401	1	2.143	GLOBSEVE	
	4	3.31771	205.01757	1	2.143	HP2PROBSOC	
	5	1.76833	200.71343	1	2.143	CSAVOID_mis	
	6	2.16264	201.86057	2	4.286	CSAVOID, CSAVOID_mis	
	7	2.36270	202.83234	2	4.286	BF5M, CSAVOID_mis	
	8	2.25017	201.54172	2	4.286	PHYSDISAGW1, CSAVOID_mis	
	9	1.59777	200.46957	1	2.143	EDUC2, CSAVOID_mis	

Final Model
	Basis
Function	Coefficient	Variable	Sign	Parent
Sign	Parent	Knot	
	0	13.6730						
	1	-1.4851	BF4	+			1.0000	
	2	-8.8824	BF4	-			1.0000	
	3	8.2170	HP2HMCARE	+			-0.0000	
	4	18.3173	GLOBSEVE	+			0.9623	
	6	8.9693	HP2PROBSOC	-			0.0000	
	7	23.5098	CSAVOID_mis	+			SubSet1	
	9	-2.6631	CSAVOID	+	-	CSAVOID_mis	23.0000	
	10	-0.5204	CSAVOID	-	-	CSAVOID_mis	23.0000	
	11	-0.2216	BF5M	+	+	CSAVOID_mis	600.0000	
	12	-0.0125	BF5M	-	+	CSAVOID_mis	600.0000	
	13	-0.6367	PHYSDISAGW1	+	+	CSAVOID_mis	80.0000	
	14	-0.0428	PHYSDISAGW1	-	+	CSAVOID_mis	80.0000	
	15	7.3459	EDUC2	+	+	CSAVOID_mis	0.0000	

MARS Learn Gains

Gains Data
Bin	Target
Bin Avg.	% Target
in Bin	Cum % Target
in Bin	Cum %
Pop	% 
Pop	Cases
in Bin	Cum
Lift	Lift
Pop	
1	47.823	30.13	30.13	8.96	8.96	189	3.36	3.36	
2	31.097	19.90	50.03	18.07	9.10	192	2.77	2.19	
3	25.745	17.51	67.54	27.74	9.67	204	2.43	1.81	
4	16.841	11.28	78.83	37.27	9.53	201	2.12	1.18	
5	12.218	8.31	87.14	46.94	9.67	204	1.86	0.86	
6	8.915	6.24	93.38	56.90	9.96	210	1.64	0.63	
7	3.732	2.69	96.06	67.14	10.24	216	1.43	0.26	
8	2.134	1.62	97.69	77.95	10.81	228	1.25	0.15	
9	1.657	1.31	98.99	89.19	11.24	237	1.11	0.12	
10	1.323	1.01	100.00	100.00	10.81	228	1.00	0.09	

Variable Importance
Variable	Score	 	
BF4	100.00	||||||||||||||||||||||||||||||||||||||||||	
CSAVOID_mis	83.35	|||||||||||||||||||||||||||||||||||	
GLOBSEVE	71.48	||||||||||||||||||||||||||||||	
HP2HMCARE	61.48	|||||||||||||||||||||||||	
HP2PROBSOC	54.54	||||||||||||||||||||||	
BF5M	44.70	||||||||||||||||||	
CSAVOID	39.54	||||||||||||||||	
PHYSDISAGW1	37.69	|||||||||||||||	
EDUC2	30.68	||||||||||||	

MARS 7 Results

	Dataset:	ch3wMaster21May2012old.dta

	Predictor Variables:	EMPLW, WAVE, AGE, GENDER, CHILDW, OCC1W, OCC2W, OCC3W,
		OCC4W, OCC5W, OCC6W, OCC7W, OCC8W, INC1W, INC2W,
		INC3W, INC4W, DEAW, DVCEW, SEPAW, CATAW, ILLW, SHJOBW,
		SHFAMW, SHHLW, SHFINCW, SHHOUSW, SHRELAW, SUPRTW,
		SUFAMW, SUCHRW, CONTW, NCONTW, SMOKW, PILLW, MEDCOW,
		GOFERW, FDFERW, TRGOVW, TRREPW, KMACC, KMWORK, INJSELFR,
		INJOTHR, EVACSELFR, RELSELFR, DEFNW, EFRADW, POLPRW,
		AIRW, RADCHW, RADLTW, RADHLW, DAFTER, DAUTHW, MEDW,
		NEIW, TOXIC, SKIN, NEAR, CLOUD, HEALTHEF, WOMAN,
		SAFERAD, GOODRAD, KZCHORN, CHSIZE, SUICSYM, GLOBSEVE,
		CSPRBSLV, CSSOCSPT, CSAVOID, WHPSLEEP, HP2WORK, HP2HMCARE,
		HP2PROBSOC, HP2PBFHM, HP2SXLIFE, HP2INTHOB, HP2VACATN,
		MIPTSD, AVGCUMDOSEW, AGESQ, EDUC1, EDUC2, EDUC3,
		EDUC4, EDUC5, EDUC6, EDUC7, HAVMIL, DEPAGW1, DEPAGW2,
		ANXAGW1, ANXAGW2, ANXAGW3, PHYSDISAGW1, PHYSDISAGW2,
		PHYSDISAGW3, PTSDW1, PTSDW2, PTSDW3, BF1, BF4, BF5,
		BF6, BF7, BF10, BF11, BF12, BF14, BF15, BF2, BF4M,
		BF5M, BF7M, BF8, BF15M, BF17, BF20, BF22, BF29, BF30,
		BF40, CHILDW_mis, SHJOBW_mis, SHFAMW_mis, SHFINCW_mis,
		SHHOUSW_mis, SHRELAW_mis, SUPRTW_mis, SUFAMW_mis,
		SUCHRW_mis, SMOKW_mis, MEDCOW_mis, GOFERW_mis, TRGOVW_mis,
		TRREPW_mis, DEFNW_mis, AIRW_mis, RADLTW_mis, RADHLW_mis,
		DAFTER_mis, DAUTHW_mis, SKIN_mis, CSPRBSLV_mis, CSAVOID_mis,
		BF12_mis, BF14_mis, BF15_mis

MARS 7 Results
Model Sequence
	Basis
Functions	N
Predictors	N
Inputs	Effective
Parameters	    GCV    	GCV R-Square	Train MSE	
	15	9	9	34.00	450.37977	0.44379	439.30816	
	14	9	9	31.80	449.78348	0.44453	439.44737	
	**13	9	9	29.60	449.30420	0.44512	439.69948	
	12	9	9	27.40	450.33350	0.44385	441.42910	
	11	8	8	25.20	452.21797	0.44152	444.00195	
	10	7	7	23.00	454.88753	0.43822	447.35323	
	9	7	7	20.80	454.88357	0.43823	448.07986	
	8	7	7	18.60	457.74771	0.43469	451.63657	
	7	6	6	16.40	460.00565	0.43190	454.60372	
	6	6	6	14.20	463.25020	0.42790	458.55502	
	5	5	5	12.00	467.29311	0.42290	463.30862	
	4	4	4	9.80	472.28828	0.41673	469.02122	
	3	3	3	7.60	477.90445	0.40980	475.36790	
	2	2	2	5.40	490.93607	0.39371	489.12101	
	1	1	1	3.20	536.64959	0.33725	535.53015	
	0	0	0	1.00	809.73138	0.00000	808.96367	

MARS Selector Error Curve

MARS 7 Results; 13 Basis Functions

	Dataset:	ch3wMaster21May2012old.dta

	Predictor Variables:	EMPLW, WAVE, AGE, GENDER, CHILDW, OCC1W, OCC2W, OCC3W,
		OCC4W, OCC5W, OCC6W, OCC7W, OCC8W, INC1W, INC2W,
		INC3W, INC4W, DEAW, DVCEW, SEPAW, CATAW, ILLW, SHJOBW,
		SHFAMW, SHHLW, SHFINCW, SHHOUSW, SHRELAW, SUPRTW,
		SUFAMW, SUCHRW, CONTW, NCONTW, SMOKW, PILLW, MEDCOW,
		GOFERW, FDFERW, TRGOVW, TRREPW, KMACC, KMWORK, INJSELFR,
		INJOTHR, EVACSELFR, RELSELFR, DEFNW, EFRADW, POLPRW,
		AIRW, RADCHW, RADLTW, RADHLW, DAFTER, DAUTHW, MEDW,
		NEIW, TOXIC, SKIN, NEAR, CLOUD, HEALTHEF, WOMAN,
		SAFERAD, GOODRAD, KZCHORN, CHSIZE, SUICSYM, GLOBSEVE,
		CSPRBSLV, CSSOCSPT, CSAVOID, WHPSLEEP, HP2WORK, HP2HMCARE,
		HP2PROBSOC, HP2PBFHM, HP2SXLIFE, HP2INTHOB, HP2VACATN,
		MIPTSD, AVGCUMDOSEW, AGESQ, EDUC1, EDUC2, EDUC3,
		EDUC4, EDUC5, EDUC6, EDUC7, HAVMIL, DEPAGW1, DEPAGW2,
		ANXAGW1, ANXAGW2, ANXAGW3, PHYSDISAGW1, PHYSDISAGW2,
		PHYSDISAGW3, PTSDW1, PTSDW2, PTSDW3, BF1, BF4, BF5,
		BF6, BF7, BF10, BF11, BF12, BF14, BF15, BF2, BF4M,
		BF5M, BF7M, BF8, BF15M, BF17, BF20, BF22, BF29, BF30,
		BF40, CHILDW_mis, SHJOBW_mis, SHFAMW_mis, SHFINCW_mis,
		SHHOUSW_mis, SHRELAW_mis, SUPRTW_mis, SUFAMW_mis,
		SUCHRW_mis, SMOKW_mis, MEDCOW_mis, GOFERW_mis, TRGOVW_mis,
		TRREPW_mis, DEFNW_mis, AIRW_mis, RADLTW_mis, RADHLW_mis,
		DAFTER_mis, DAUTHW_mis, SKIN_mis, CSPRBSLV_mis, CSAVOID_mis,
		BF12_mis, BF14_mis, BF15_mis

		Target Variable WHPSLEEP
N: 2,109 		Minimum0.00000 	Maximum:  101.00000 
Mean:   21.91714 		Varience:   809.34743 

		Variables, Terms, and Parameters
Direct variables: 9 		Total variables: 9 
Terms in model: 14 		Effective parameters: 29.60 

		R-Square Measures
Naive: 0.46007 		Naive adjusted: 0.45672 	GCV R-square: 0.44512 

		Mean-Square Measures
Naive MSE: 439.69948 		MARS GCV: 449.30420 

Basis Functions
 BF1 = max(0, GLOBSEVE - 1.54717);
 BF2 = max(0, 1.54717 - GLOBSEVE);
 BF3 = max(0, HP2INTHOB + 1.17434E-009);
 BF4 = max(0, AGE - 52);
 BF6 = max(0, BF4 - 3);
 BF7 = max(0, 3 - BF4);
 BF8 = max(0, BF29 - 34500);
 BF10 = max(0, KMWORK - 220);
 BF11 = max(0, 220 - KMWORK);
 BF12 = max(0, CLOUD - 90);
 BF13 = max(0, 90 - CLOUD);
 BF14 = max(0, PTSDW1 - 2.05895E-007);
 BF15 = max(0, HAVMIL - 0.546945);

 Y = 44.4394 + 23.2397 * BF1 - 21.2335 * BF2 + 17.3259 * BF3 
             + 0.547449 * BF4 - 0.945494 * BF6 - 3.75244 * BF7 
             + 0.000463875 * BF8 - 0.0186581 * BF10 
             - 0.0777058 * BF11 + 0.936573 * BF12 
             + 0.0571326 * BF13 + 0.0686294 * BF14 
             + 0.0170859 * BF15;

 MODEL WHPSLEEP = BF1 BF2 BF3 BF4 BF6 BF7 BF8 BF10 BF11 BF12 BF13 
                  BF14 BF15;

Anova Data
	Function	Standard
Deviation	Mars Prediction Success
Threshold Table   	No of basis
Functions	No of Effective
Parameters	Variables	

	1	11.27524	492.31109	2	4.400	GLOBSEVE	
	2	6.15136	478.30456	1	2.200	HP2INTHOB	
	3	3.49397	458.40595	1	2.200	AGE	
	4	3.68821	455.76926	2	4.400	BF4	
	5	2.94811	457.14912	1	2.200	BF29	
	6	3.92849	459.14770	2	4.400	KMWORK	
	7	2.20591	452.21797	2	4.400	CLOUD	
	8	2.49164	453.64655	1	2.200	PTSDW1	
	9	3.04042	451.71064	1	2.200	HAVMIL	

Final Model
	Basis
Function	Coefficient	Variable	Sign	Knot	
	0	44.4394				
	1	23.2397	GLOBSEVE	+	1.5472	
	2	-21.2335	GLOBSEVE	-	1.5472	
	3	17.3259	HP2INTHOB	+	-0.0000	
	4	0.5474	AGE	+	52.0000	
	6	-0.9455	BF4	-	3.0000	
	7	-3.7524	BF4	+	3.0000	
	8	0.0005	BF29	-	34,499.9961	
	10	-0.0187	KMWORK	+	220.0000	
	11	-0.0777	KMWORK	-	220.0000	
	12	0.9366	CLOUD	+	90.0000	
	13	0.0571	CLOUD	-	90.0000	
	14	0.0686	PTSDW1	+	0.0000	
	15	0.0171	HAVMIL	-	0.5469	

MARS Learn Gains

Gains Data
Bin	Target
Bin Avg.	% Target
in Bin	Cum % Target
in Bin	Cum %
Pop	% 
Pop	Cases
in Bin	Cum
Lift	Lift
Pop	
1	61.726	27.64	27.64	9.82	9.82	207	2.82	2.82	
2	49.568	22.20	49.84	19.63	9.82	207	2.54	2.26	
3	32.366	14.49	64.33	29.45	9.82	207	2.18	1.48	
4	26.118	11.70	76.03	39.26	9.82	207	1.94	1.19	
5	19.283	8.51	84.54	48.93	9.67	204	1.73	0.88	
6	14.126	6.33	90.87	58.75	9.82	207	1.55	0.64	
7	11.475	5.36	96.23	68.99	10.24	216	1.39	0.52	
8	3.499	1.66	97.89	79.37	10.38	219	1.23	0.16	
9	2.649	1.24	99.12	89.62	10.24	216	1.11	0.12	
10	1.847	0.88	100.00	100.00	10.38	219	1.00	0.08	

Variable Importance
Variable	Score	 	
GLOBSEVE	100.00	||||||||||||||||||||||||||||||||||||||||||	
HP2INTHOB	82.12	||||||||||||||||||||||||||||||||||	
KMWORK	47.84	||||||||||||||||||||	
AGE	46.00	|||||||||||||||||||	
BF29	42.71	|||||||||||||||||	
BF4	38.77	||||||||||||||||	
PTSDW1	31.78	|||||||||||||	
CLOUD	26.03	||||||||||	
HAVMIL	23.65	|||||||||	

MARS 7 Results; 13 Basis Functions

	Dataset:	ch3wMaster21May2012old.dta

	Predictor Variables:	EMPLW, WAVE, AGE, GENDER, CHILDW, OCC1W, OCC2W, OCC3W,
		OCC4W, OCC5W, OCC6W, OCC7W, OCC8W, INC1W, INC2W,
		INC3W, INC4W, DEAW, DVCEW, SEPAW, CATAW, ILLW, SHJOBW,
		SHFAMW, SHHLW, SHFINCW, SHHOUSW, SHRELAW, SUPRTW,
		SUFAMW, SUCHRW, CONTW, NCONTW, SMOKW, PILLW, MEDCOW,
		GOFERW, FDFERW, TRGOVW, TRREPW, KMACC, KMWORK, INJSELFR,
		INJOTHR, EVACSELFR, RELSELFR, DEFNW, EFRADW, POLPRW,
		AIRW, RADCHW, RADLTW, RADHLW, DAFTER, DAUTHW, MEDW,
		NEIW, TOXIC, SKIN, NEAR, CLOUD, HEALTHEF, WOMAN,
		SAFERAD, GOODRAD, KZCHORN, CHSIZE, SUICSYM, GLOBSEVE,
		CSPRBSLV, CSSOCSPT, CSAVOID, WHPSLEEP, HP2WORK, HP2HMCARE,
		HP2PROBSOC, HP2PBFHM, HP2SXLIFE, HP2INTHOB, HP2VACATN,
		MIPTSD, AVGCUMDOSEW, AGESQ, EDUC1, EDUC2, EDUC3,
		EDUC4, EDUC5, EDUC6, EDUC7, HAVMIL, DEPAGW1, DEPAGW2,
		ANXAGW1, ANXAGW2, ANXAGW3, PHYSDISAGW1, PHYSDISAGW2,
		PHYSDISAGW3, PTSDW1, PTSDW2, PTSDW3, BF1, BF4, BF5,
		BF6, BF7, BF10, BF11, BF12, BF14, BF15, BF2, BF4M,
		BF5M, BF7M, BF8, BF15M, BF17, BF20, BF22, BF29, BF30,
		BF40, CHILDW_mis, SHJOBW_mis, SHFAMW_mis, SHFINCW_mis,
		SHHOUSW_mis, SHRELAW_mis, SUPRTW_mis, SUFAMW_mis,
		SUCHRW_mis, SMOKW_mis, MEDCOW_mis, GOFERW_mis, TRGOVW_mis,
		TRREPW_mis, DEFNW_mis, AIRW_mis, RADLTW_mis, RADHLW_mis,
		DAFTER_mis, DAUTHW_mis, SKIN_mis, CSPRBSLV_mis, CSAVOID_mis,
		BF12_mis, BF14_mis, BF15_mis

		Target Variable WHPSLEEP
N: 2,109 		Minimum0.00000 	Maximum:  101.00000 
Mean:   21.91714 		Varience:   809.34743 

		Variables, Terms, and Parameters
Direct variables: 9 		Total variables: 9 
Terms in model: 14 		Effective parameters: 29.60 

		R-Square Measures
Naive: 0.46007 		Naive adjusted: 0.45672 	GCV R-square: 0.44512 

		Mean-Square Measures
Naive MSE: 439.69948 		MARS GCV: 449.30420 

Basis Functions
 BF1 = max(0, GLOBSEVE - 1.54717);
 BF2 = max(0, 1.54717 - GLOBSEVE);
 BF3 = max(0, HP2INTHOB + 1.17434E-009);
 BF4 = max(0, AGE - 52);
 BF6 = max(0, BF4 - 3);
 BF7 = max(0, 3 - BF4);
 BF8 = max(0, BF29 - 34500);
 BF10 = max(0, KMWORK - 220);
 BF11 = max(0, 220 - KMWORK);
 BF12 = max(0, CLOUD - 90);
 BF13 = max(0, 90 - CLOUD);
 BF14 = max(0, PTSDW1 - 2.05895E-007);
 BF15 = max(0, HAVMIL - 0.546945);

 Y = 44.4394 + 23.2397 * BF1 - 21.2335 * BF2 + 17.3259 * BF3 
             + 0.547449 * BF4 - 0.945494 * BF6 - 3.75244 * BF7 
             + 0.000463875 * BF8 - 0.0186581 * BF10 
             - 0.0777058 * BF11 + 0.936573 * BF12 
             + 0.0571326 * BF13 + 0.0686294 * BF14 
             + 0.0170859 * BF15;

 MODEL WHPSLEEP = BF1 BF2 BF3 BF4 BF6 BF7 BF8 BF10 BF11 BF12 BF13 
                  BF14 BF15;

Anova Data
	Function	Standard
Deviation	Mars Prediction Success
Threshold Table   	No of basis
Functions	No of Effective
Parameters	Variables	
	1	11.27524	492.31109	2	4.400	GLOBSEVE	
	2	6.15136	478.30456	1	2.200	HP2INTHOB	
	3	3.49397	458.40595	1	2.200	AGE	
	4	3.68821	455.76926	2	4.400	BF4	
	5	2.94811	457.14912	1	2.200	BF29	
	6	3.92849	459.14770	2	4.400	KMWORK	
	7	2.20591	452.21797	2	4.400	CLOUD	
	8	2.49164	453.64655	1	2.200	PTSDW1	
	9	3.04042	451.71064	1	2.200	HAVMIL	

Final Model
	Basis
Function	Coefficient	Variable	Sign	Knot	
	0	44.4394				
	1	23.2397	GLOBSEVE	+	1.5472	
	2	-21.2335	GLOBSEVE	-	1.5472	
	3	17.3259	HP2INTHOB	+	-0.0000	
	4	0.5474	AGE	+	52.0000	
	6	-0.9455	BF4	-	3.0000	
	7	-3.7524	BF4	+	3.0000	
	8	0.0005	BF29	-	34,499.9961	
	10	-0.0187	KMWORK	+	220.0000	
	11	-0.0777	KMWORK	-	220.0000	
	12	0.9366	CLOUD	+	90.0000	
	13	0.0571	CLOUD	-	90.0000	
	14	0.0686	PTSDW1	+	0.0000	
	15	0.0171	HAVMIL	-	0.5469	

MARS Learn Gains

Gains Data
Bin	Target
Bin Avg.	% Target
in Bin	Cum % Target
in Bin	Cum %
Pop	% 
Pop	Cases
in Bin	Cum
Lift	Lift
Pop	
1	61.726	27.64	27.64	9.82	9.82	207	2.82	2.82	
2	49.568	22.20	49.84	19.63	9.82	207	2.54	2.26	
3	32.366	14.49	64.33	29.45	9.82	207	2.18	1.48	
4	26.118	11.70	76.03	39.26	9.82	207	1.94	1.19	
5	19.283	8.51	84.54	48.93	9.67	204	1.73	0.88	
6	14.126	6.33	90.87	58.75	9.82	207	1.55	0.64	
7	11.475	5.36	96.23	68.99	10.24	216	1.39	0.52	
8	3.499	1.66	97.89	79.37	10.38	219	1.23	0.16	
9	2.649	1.24	99.12	89.62	10.24	216	1.11	0.12	
10	1.847	0.88	100.00	100.00	10.38	219	1.00	0.08	

Variable Importance
Variable	Score	 	
GLOBSEVE	100.00	||||||||||||||||||||||||||||||||||||||||||	
HP2INTHOB	82.12	||||||||||||||||||||||||||||||||||	
KMWORK	47.84	||||||||||||||||||||	
AGE	46.00	|||||||||||||||||||	
BF29	42.71	|||||||||||||||||	
BF4	38.77	||||||||||||||||	
PTSDW1	31.78	|||||||||||||	
CLOUD	26.03	||||||||||	
HAVMIL	23.65	|||||||||