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

 At iteration     1

 The current parameter values:  
 Additive, population 1:  
 0.109
 Additive, population 2:  
 0.252
 Environmental, population 1:  
 2.728
 Environmental, population 2:  
 1.212
 Dominance, population 1:  
 0.441
 Dominance, population 2:  
 1.930
LogLike       -524.9395

 At iteration     2

 The current parameter values:  
 Additive, population 1:  
 0.076
 Additive, population 2:  
 0.180
 Environmental, population 1:  
 2.686
 Environmental, population 2:  
 1.298
 Dominance, population 1:  
 0.512
 Dominance, population 2:  
 1.893
LogLike       -524.9174

 At iteration     3

 The current parameter values:  
 Additive, population 1:  
 0.084
 Additive, population 2:  
 0.204
 Environmental, population 1:  
 2.689
 Environmental, population 2:  
 1.307
 Dominance, population 1:  
 0.502
 Dominance, population 2:  
 1.864
LogLike       -524.9164
    At iteration    4

   *** The unconstrained analysis converged with the following results ***
   The log likelihood is -524.9164
   The mean of each trait is
         7.646945
   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       -0.928549
Factor:    2 Level:    1 Label:    1
has fixed factor effect  0
Factor:    2 Level:    2
 Label:    2
has fixed factor effect        0.017682
Factor:    2 Level:    3
 Label:    3
has fixed factor effect       -0.170606
Factor:    2 Level:    4
 Label:    4
has fixed factor effect       -0.628740
Factor:    2 Level:    5
 Label:    5
has fixed factor effect       -3.271790
Factor:    2 Level:    6
 Label:    6
has fixed factor effect       -3.474568
      7.64694
     -0.92855
      0.01768
     -0.17061
     -0.62874
     -3.27179
     -3.47457

additive genetic components for population 1
    0.0844

additive genetic components for population 2
    0.2044

environmental components for population            1
    2.6894

environmental components for population            2
    1.3071


dominance components for population            1
    0.5016

dominance components for population            2
    1.8636


    Large-sample var-cov matrix of the estimates
      0.060846     -0.000000      0.026573      0.000000     -0.075973     -0.000000
                    0.286971      0.000000      0.112149     -0.000000     -0.340986
                                  0.298556     -0.000759     -0.274670      0.000212
                                                0.769034      0.000211     -0.963707
                                                              0.376394     -0.000059
                                                                            1.473091
                                                                                    
  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.