$COMMENT
This is a test example for testing dmuai
-
Data consists of recordings on 2187 growing sheep from field recording.
The pedigree file consists of 2729 individuals
-
Model w_birth = B_month + D_age + Litter + Sex + HY + L_Dam + ID + e
$ANALYSE 1 1 0 0

$DATA  ASCII (9,6,-99) data_record
 
$VARIABLE
#1   2       3     4      5   6  7  8   9  
Herd B_month D_age Parity Sex HY ID DAM L_Dam
#1      2      3      4     5     6  
W_birth W_2mth W_4mth G_0_2 G_0_4 G_2_4

$MODEL
1 1 0 0 0                                                                               
0                                                                                     
#Trait Weight #effects B_month D_age Parity Sex HY L_Dam ID
  1      0       7     2       3     4      5   6  9     7
#Random L_dam G
  2      1    2                                                                                                   
#Regressions
0
#NoCov
0                                                                               
 
$VAR_STR  2 PED 2 ASCII pedigree
   
$RESIDUALS ASCII

$PRIOR
  1  1  1  .14   
  2  1  1  .2  
  3  1  1  .4     

$DMUAI
10	! Emstep = Number of steps before full weight on EM
1.0d-7	! Conv_ndelta = Conv. criteria for norm of the update vector 
1.0d-6 	! Conv_gnorm =	Conv. criteria for norm of the gradient vector (AI)
1	! Printout = 1 -> Solution vector is printed/written to file SOL
0	! Fspopt = 0 -> time  = 1 memory  optimized FSPAK
0	! For development should always be zero (0)
