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.