Model Information	
Data Set	WORK.RATPUP3	
Dependent Variable	weight	
Covariance Structure	Variance Components	
Subject Effect	litter	
Group Effect	TRTGRP	
Estimation Method	REML	
Residual Variance Method	None	
Fixed Effects SE Method	Model-Based	
Degrees of Freedom Method	Satterthwaite	

Class Level Information	
Class	Levels	Values	
treat	3	High Low Control	
litter	27	1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27	
sex	2	Female Male	
TRTGRP	2	High/Low Control	

Dimensions	
Covariance Parameters	3	
Columns in X	7	
Columns in Z Per Subject	1	
Subjects	27	
Max Obs Per Subject	18	

Number of Observations	
Number of Observations Read	322	
Number of Observations Used	322	
Number of Observations Not Used	0	

Iteration History	
Iteration	Evaluations	-2 Res Log Like	Criterion	
0	1	487.48200292		
1	3	356.30395333	0.00022075	
2	1	356.27846330	0.00000022	
3	1	356.27843834	0.00000000	

Convergence criteria met.	

Estimated V Matrix for litter 3	
Row	Col1	Col2	Col3	Col4	
1	0.3636	0.09900	0.09900	0.09900	
2	0.09900	0.3636	0.09900	0.09900	
3	0.09900	0.09900	0.3636	0.09900	
4	0.09900	0.09900	0.09900	0.3636	

Estimated V Correlation Matrix for litter 3	
Row	Col1	Col2	Col3	Col4	
1	1.0000	0.2722	0.2722	0.2722	
2	0.2722	1.0000	0.2722	0.2722	
3	0.2722	0.2722	1.0000	0.2722	
4	0.2722	0.2722	0.2722	1.0000	

Covariance Parameter Estimates	
Cov Parm	Subject	Group	Estimate	Standard Error	Z Value	Pr Z	
Intercept	litter		0.09900	0.03288	3.01	0.0013	
Residual		TRTGRP High/Low	0.09178	0.009855	9.31	<.0001	
Residual		TRTGRP Control	0.2646	0.03395	7.79	<.0001	

Fit Statistics	
-2 Res Log Likelihood	356.3	
AIC (smaller is better)	362.3	
AICC (smaller is better)	362.4	
BIC (smaller is better)	366.2	

Solution for Fixed Effects	
Effect	sex	treat	Estimate	Standard Error	DF	t Value	Pr > |t|	
Intercept			8.3276	0.2741	33.3	30.39	<.0001	
treat		High	-0.8623	0.1829	25.7	-4.71	<.0001	
treat		Low	-0.4337	0.1523	24.3	-2.85	0.0088	
treat		Control	0	.	.	.	.	
sex	Female		-0.3434	0.04204	256	-8.17	<.0001	
sex	Male		0	.	.	.	.	
litsize			-0.1307	0.01855	31.1	-7.04	<.0001	

Solution for Random Effects	
Effect	litter	Estimate	Std Err Pred	DF	t Value	Pr > |t|	
Intercept	1	0.1636	0.1633	64.1	1.00	0.3204	
Intercept	2	-0.06635	0.1566	62.3	-0.42	0.6733	
Intercept	3	-0.1668	0.2346	34.5	-0.71	0.4821	
Intercept	4	-0.05175	0.1566	62.3	-0.33	0.7422	
Intercept	5	0.3224	0.1591	64.3	2.03	0.0469	
Intercept	6	-0.05511	0.1843	54.1	-0.30	0.7661	
Intercept	7	0.3756	0.1657	42.4	2.27	0.0286	
Intercept	8	-0.02604	0.1607	47.7	-0.16	0.8720	
Intercept	9	-0.5708	0.1606	47.6	-3.55	0.0009	
Intercept	10	0.07527	0.1592	64.3	0.47	0.6378	
Intercept	11	0.04793	0.1345	33.5	0.36	0.7238	
Intercept	12	0.01423	0.2357	29.2	0.06	0.9523	
Intercept	13	-0.3857	0.1296	44.6	-2.98	0.0047	
Intercept	14	0.02224	0.1294	36.4	0.17	0.8646	
Intercept	15	0.03691	0.1268	42.3	0.29	0.7724	
Intercept	16	0.07164	0.1270	42.6	0.56	0.5758	
Intercept	17	-0.4146	0.1268	39.4	-3.27	0.0022	
Intercept	18	0.4574	0.1299	36.8	3.52	0.0012	
Intercept	19	-0.1987	0.1412	44.9	-1.41	0.1663	
Intercept	20	0.3486	0.1345	33.5	2.59	0.0140	
Intercept	21	-0.2996	0.1623	29.8	-1.85	0.0750	
Intercept	22	-0.5306	0.1474	37.6	-3.60	0.0009	
Intercept	23	0.2997	0.2025	38	1.48	0.1471	
Intercept	24	0.1937	0.1509	33.6	1.28	0.2079	
Intercept	25	0.2443	0.1537	40.9	1.59	0.1197	
Intercept	26	0.2499	0.1497	39.7	1.67	0.1029	
Intercept	27	-0.1574	0.1496	39.6	-1.05	0.2989	

Type 3 Tests of Fixed Effects	
Effect	Num DF	Den DF	F Value	Pr > F	
treat	2	24.3	11.39	0.0003	
sex	1	256	66.72	<.0001	
litsize	1	31.1	49.62	<.0001	

Least Squares Means	
Effect	treat	Estimate	Standard Error	DF	t Value	Pr > |t|	
treat	High	5.5518	0.1448	23.3	38.34	<.0001	
treat	Low	5.9804	0.1046	21.4	57.19	<.0001	
treat	Control	6.4141	0.1105	27	58.07	<.0001	

Differences of Least Squares Means	
Effect	treat	_treat	Estimate	Standard Error	DF	t Value	Pr > |t|	Adjustment	Adj P	
treat	High	Low	-0.4286	0.1755	23.4	-2.44	0.0225	Tukey-Kramer	0.0558	
treat	High	Control	-0.8623	0.1829	25.7	-4.71	<.0001	Tukey-Kramer	0.0002	
treat	Low	Control	-0.4337	0.1523	24.3	-2.85	0.0088	Tukey-Kramer	0.0231	

Influence Diagnostics for Levels of litter	
litter	Number of Observations in Level	Iterations	PRESS Statistic	Cook's D	MDFFITS	COVRATIO	COVTRACE	Cook's D CovParms	MDFFITS CovParms	
1	12	2	2.1561	0.00868	0.00752	1.2812	0.2600	0.1414	0.1179	
2	14	3	0.8426	0.00400	0.00370	1.3527	0.3178	0.5756	0.4303	
3	4	2	0.9269	0.04592	0.03380	1.4473	0.4252	0.0148	0.0140	
4	14	3	1.2340	0.00255	0.00236	1.3559	0.3202	0.4135	0.3182	
5	13	3	9.5339	0.03618	0.03399	1.0024	0.0055	1.1083	1.3341	
6	9	4	14.5084	0.03452	0.03851	1.1188	0.1283	10.0864	26.7006	
7	18	3	5.7507	0.08230	0.07021	1.1052	0.1170	1.0307	0.7055	
8	17	2	3.5859	0.00034	0.00029	1.4279	0.3805	0.0584	0.0494	
9	17	3	11.6470	0.15469	0.15213	0.6672	0.3700	0.7593	0.7292	
10	13	3	1.0386	0.00193	0.00167	1.3560	0.3202	0.3974	0.3093	
11	16	2	0.5965	0.00298	0.00261	1.5703	0.4820	0.3119	0.2563	
12	2	2	0.3549	0.00054	0.00034	1.7728	0.7083	0.0366	0.0353	
13	12	2	3.7592	0.04747	0.04401	1.0109	0.0166	0.0236	0.0237	
14	15	2	0.5633	0.00426	0.00381	1.5355	0.4552	0.2477	0.2074	
15	13	2	0.4568	0.00482	0.00436	1.4881	0.4193	0.2076	0.1773	
16	13	2	0.9463	0.00999	0.00921	1.4213	0.3697	0.0546	0.0483	
17	14	2	4.3006	0.06406	0.05978	1.0178	0.0265	0.0723	0.0679	
18	15	3	7.5404	0.16870	0.17503	0.7498	0.2744	1.4679	1.7581	
19	10	2	1.4945	0.01656	0.01434	1.3136	0.2879	0.0077	0.0070	
20	16	2	4.0384	0.05774	0.05151	1.1277	0.1322	0.0378	0.0347	
21	14	2	3.1575	0.06830	0.05390	1.3212	0.3116	0.0537	0.0474	
22	10	3	5.1127	0.12634	0.12163	0.7863	0.2188	0.1861	0.2182	
23	3	2	1.7787	0.09605	0.07636	1.1456	0.1682	0.2417	0.2651	
24	12	2	1.9566	0.01995	0.01620	1.3542	0.3277	0.0190	0.0179	
25	8	2	2.0637	0.02729	0.02309	1.2088	0.2045	0.1322	0.1372	
26	9	2	1.5986	0.02794	0.02369	1.2428	0.2324	0.0029	0.0027	
27	9	2	1.1010	0.01226	0.01019	1.3850	0.3476	0.0133	0.0119	

Influence Diagnostics for Levels of litter	
litter	COVRATIO CovParms	COVTRACE CovParms	Restricted Likelihood Distance	
1	1.3271	0.3064	0.176	
2	1.5157	0.4721	0.525	
3	1.1204	0.1169	0.240	
4	1.4787	0.4387	0.383	
5	0.8241	0.1770	1.540	
6	0.4161	0.5198	20.374	
7	1.4147	0.4354	1.308	
8	1.3807	0.3511	0.058	
9	1.0220	0.1145	1.664	
10	1.4638	0.4252	0.371	
11	1.4069	0.3736	0.301	
12	1.0976	0.1005	0.039	
13	1.0223	0.0234	0.273	
14	1.3829	0.3527	0.248	
15	1.3514	0.3255	0.214	
16	1.2761	0.2601	0.096	
17	1.0855	0.0908	0.407	
18	0.7449	0.2708	2.616	
19	1.1524	0.1477	0.088	
20	1.1332	0.1332	0.331	
21	1.1652	0.1616	0.398	
22	0.8952	0.0872	0.952	
23	0.8911	0.1107	0.757	
24	1.1440	0.1399	0.118	
25	1.0267	0.0292	0.278	
26	1.1283	0.1245	0.142	
27	1.1693	0.1638	0.070