This is an REML analysis.
1is fixed effect number 1of factor 1
1is fixed effect number 1of factor 2
2is fixed effect number 2of factor 2
3is fixed effect number 3of factor 2
4is fixed effect number 4of factor 2
5is fixed effect number 5of factor 2
6is fixed effect number 6of factor 2
2is fixed effect number 2of factor 1
At iteration 0
The current parameter values:
Additive, population 1:
0.000
Additive, population 2:
0.000
Environmental, population 1:
1.000
Environmental, population 2:
1.000
Dominance, population 1:
0.000
Dominance, population 2:
0.000
LogLike -796.7258
Multiplier 1 27.3150
At iteration 1
The current parameter values:
Additive, population 1:
0.169
Additive, population 2:
0.169
Environmental, population 1:
2.773
Environmental, population 2:
1.152
Dominance, population 1:
0.342
Dominance, population 2:
2.066
LogLike -525.0113
Multiplier 1 0.3962
At iteration 2
The current parameter values:
Additive, population 1:
0.092
Additive, population 2:
0.092
Environmental, population 1:
2.686
Environmental, population 2:
1.267
Dominance, population 1:
0.501
Dominance, population 2:
1.992
LogLike -524.9470
Multiplier 1 0.5127
At iteration 3
The current parameter values:
Additive, population 1:
0.113
Additive, population 2:
0.113
Environmental, population 1:
2.700
Environmental, population 2:
1.262
Dominance, population 1:
0.469
Dominance, population 2:
1.985
LogLike -524.9437
At iteration 4
*** The constrained analysis converged with the following results ***
The log likelihood is -524.9437
The mean of each trait is
7.646486
The effect of the fixed factors is
(in the order given, levels within factors)
Factor: 1 Level: 1 Label: 1
has fixed factor effect 0
Factor: 1 Level: 2
Label: 2
has fixed factor effect -0.921338
Factor: 2 Level: 1 Label: 1
has fixed factor effect 0
Factor: 2 Level: 2
Label: 2
has fixed factor effect 0.017493
Factor: 2 Level: 3
Label: 3
has fixed factor effect -0.170388
Factor: 2 Level: 4
Label: 4
has fixed factor effect -0.628499
Factor: 2 Level: 5
Label: 5
has fixed factor effect -3.271670
Factor: 2 Level: 6
Label: 6
has fixed factor effect -3.474447
7.64649
-0.92134
0.01749
-0.17039
-0.62850
-3.27167
-3.47445
additive genetic components for population 1
0.1131
additive genetic components for population 2
0.1131
environmental components for population 1
2.6996
environmental components for population 2
1.2618
dominance components for population 1
0.4688
dominance components for population 2
1.9851
Large-sample var-cov matrix of the estimates
0.063903 -0.000000 0.024525 0.000000 -0.075279 -0.000000
0.257904 0.000000 0.139583 -0.000000 -0.358162
0.297436 -0.000760 -0.271772 0.000212
0.800848 0.000211 -1.024373
0.372049 -0.000059
1.565392
The test statistic comparing two likelihoods is given by twice
their difference and is compared to Chi-square with df given by the
number of parameters specified by the hypothesis.