# Min Age (should not be modified unless data is modified accordingly)
 0
 # Max Age (should not be modified unless data is modified accordingly)
 8
 # Max Age considered a plus group (0=No, 1=Yes)
 1
 # The following matrix describes the coupling
 # of fishing mortality STATES
 # Rows represent fleets.
 # Columns represent ages.
 1	2	3	4	5	6	7	8	8	
 0	0	0	0	0	0	0	0	0
 0	0	0	0	0	0	0	0	0
 # Use correlated random walks for the fishing mortalities
 # ( 0 = independent, 1 = symmetrical correlation estimated, 2=AR(1)-correlation estimated)
 2
 # Coupling of catchability PARAMETERS
 0	0	0	0	0	0	0	0	0
 0	1	2	3	4	4	0	0	0
 5	6	7	8 	9	9	0	0	0
 # Coupling of power law model EXPONENTS (if used)
 0	0	0	0	0	0	0	0	0
 0	0	0	0	0	0	0	0	0
 0	0	0	0	0	0	0	0	0
 # Coupling of fishing mortality RW VARIANCES
 1	1	1	1	1	1	1	1	1
 0	0	0	0	0	0	0	0	0	
 0	0	0	0	0	0	0	0	0
 # Coupling of log N RW VARIANCES	
 1	2	2	2	2	2	2	2	2
 # Coupling of OBSERVATION VARIANCES
 4	1	1	1	1	1	1	1	1
 0	2	2	2	2	2	2	2	2
 3 	3	3	3	3	3	3	3	3
 # Stock recruitment model code (0=RW, 1=Ricker, 2=BH, ... more in time)
 0
 # Years in which catch data are to be scaled by an estimated parameter 
 # first the number of years 
0
 # Then the actual years 
 # Them the model config lines years cols ages 
 # Define Fbar range
 3	6
 # Observation correlation coupling (0 = uncorrelated)
 # Rows represent fleets, columns represent the correlation coefficient for the MINIMUM of a pair of age groups min(i,j) and it's neighbour.
 0	0	0	0	0	0	0	0
 0	0	0	0	0	0	0	0
 0 	0	0	0	0	0	0	0