DATAFILE
test.dat1
NUMBER_OF_TRAITS
2
NUMBER_OF_EFFECTS
9
OBSERVATION(S)
3 4
WEIGHT(S)
EFFECTS: POSITIONS_IN_DATAFILE NUMBER_OF_LEVELS TYPE_OF_EFFECT [EFFECT NESTED]
1 1 2 cross
6 6 1 cov
7 7 1 cov
2 2 5 cross
6 6 5 cov 2 2
7 7 5 cov 2 2
2 2 10 cross
6 6 10 cov 2 2
7 7 10 cov 2 2
RANDOM_RESIDUAL VALUES
10 1
1 5
RANDOM_GROUP
4 5 6
RANDOM_TYPE
diagonal
FILE

(CO)VARIANCES
1 0.1 0.1 0.1 0.1 0.1
0.1 1 0.1 0.1 0.1 0.1
0.1 0.1 1 0.1 0.1 0.1
0.1 0.1 0.1 1 0.1 0.1
0.1 0.1 0.1 0.1 1 0.1
0.1 0.1 0.1 0.1 0.1 1
RANDOM_GROUP
7 8 9
RANDOM_TYPE
add_animal
FILE
animal.ped
(CO)VARIANCES
1 0.1 0.1 0.1 0.1 0.1
0.1 1 0.1 0.1 0.1 0.1
0.1 0.1 1 0.1 0.1 0.1
0.1 0.1 0.1 1 0.1 0.1
0.1 0.1 0.1 0.1 1 0.1
0.1 0.1 0.1 0.1 0.1 1

DATAFILE
test.dat2
NUMBER_OF_TRAITS
2
NUMBER_OF_EFFECTS
10
OBSERVATION(S)
3 4
WEIGHT(S)
EFFECTS: POSITIONS_IN_DATAFILE NUMBER_OF_LEVELS TYPE_OF_EFFECT [EFFECT NESTED]
1 1 2 cross
6 6 1 cov
7 7 1 cov
8 8 1 cov
6 6 5 cov 2 2
7 7 5 cov 2 2
8 8 5 cov 2 2
6 6 10 cov 2 2
7 7 10 cov 2 2
8 8 10 cov 2 2
RANDOM_RESIDUAL VALUES
10 1
1 5
RANDOM_GROUP
5 6 7
RANDOM_TYPE
diagonal
FILE

(CO)VARIANCES
1 0.1 0.1 0.1 0.1 0.1
0.1 1 0.1 0.1 0.1 0.1
0.1 0.1 1 0.1 0.1 0.1
0.1 0.1 0.1 1 0.1 0.1
0.1 0.1 0.1 0.1 1 0.1
0.1 0.1 0.1 0.1 0.1 1
RANDOM_GROUP
8 9 10
RANDOM_TYPE
add_animal
FILE
animal.ped
(CO)VARIANCES
1 0.1 0.1 0.1 0.1 0.1
0.1 1 0.1 0.1 0.1 0.1
0.1 0.1 1 0.1 0.1 0.1
0.1 0.1 0.1 1 0.1 0.1
0.1 0.1 0.1 0.1 1 0.1
0.1 0.1 0.1 0.1 0.1 1

test.dat1: example data set using Legendre polynomial
1 1 21.10000 12.10000 11 -1.73205 2.23607
2 2 22.20000 12.20000 12 -1.23718 .59324
1 3 21.30000 12.30000 13 -.74231 -.50197
2 1 22.10000 12.40000 14 -.24744 -1.04958
1 2 21.20000 12.10000 15 .24744 -1.04958
2 3 22.30000 12.20000 16 .74231 -.50197
1 4 21.40000 12.30000 17 1.23718 .59324
2 5 22.50000 12.40000 18 1.73205 2.23607

test.dat2: example data set using linear spline
1 1 21.100000 12.100000 11 1.000000 .000000 .000000
2 2 22.200000 12.200000 12 .666667 .333333 .000000
1 3 21.300000 12.300000 13 .333333 .666667 .000000
2 1 22.100000 12.400000 14 .000000 1.000000 .000000
1 2 21.200000 12.100000 15 .000000 .750000 .250000
2 3 22.300000 12.200000 16 .000000 .500000 .500000
1 4 21.400000 12.300000 17 .000000 .250000 .750000
2 5 22.500000 12.400000 18 .000000 .000000 1.000000