 AI    0    -10364.355  0.000000   0.0000   0.000000   0.0000  1.0000      3      1    1  0.0000     2                  
 AI    1    -10357.884     6.471    15.53   0.550037   -100.3  1.0000      1      0    2  0.0000     2                  
 AI    2    -10296.962     60.92    12.84   0.364782   -55.21  1.0000      2      0    4  0.0000     2                  
 AI    3    -10290.360     6.601    2.723   0.147935   -5.000  1.0000      1      0    5  0.0000     2                  
 AI    4    -10289.183     1.177    1.839   0.051224  -0.8911  1.0000      1      0    6  0.0000     2                  
 AI    5    -10288.988    0.1953   0.5407   0.023284  -0.1373  1.0000      1      0    7  0.0000     2                  
 AI    6    -10288.944   0.04417   0.2924   0.009949  -0.0304  1.0000      1      0    8  0.0000     2                  
 AI    7    -10288.933   0.01030   0.1217   0.005362  -0.0070  1.0000      1      0    9  0.0000     2                  
 AI    8    -10288.931  0.002428   0.0611   0.002555  -0.0016  1.0000      1      0   10  0.0000     2                  
 AI    9    -10288.930  0.000566   0.0275   0.001288  -0.0004  1.0000      1      0   11  0.0000     2                  
 AI   10    -10288.930  0.000131   0.0135   0.000616  -0.0001  1.0000      1      0   12  0.0000     2                  
 *** AIREML seems to have converged: Change in log L <  0.500000E-03
     Last change in log L                          = 0.131209E-03
     Norm of gradient vector                       = 0.134507E-01 (should be close to 0)
     Newton decrement                              =-0.887032E-04 (should be close to 0)
 Total time used (secs): CPU =          21  System =           3
