# Min Age
1

# Max Age
6

# Max Age 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  4  4  
 0  0  0  0  0  0
 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 = correlation estimated)
0 

# The following matrix describes the coupling 
# of fishing mortality PARAMETERS
# Rows represent fleets. 
# Columns represent ages.
 0  0  0  0  0  0
 1  2  3  0  0  0  
 4  5  6  0  0  0  
 7  8  9 10 10 10  
11 12 13 14  0  0  

# Survey q-scaling coefficient (better name wanted) 
# 
# Rows represent fleets. 
# Columns represent ages.
 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  0  0  0  

# The following matrix describes the coupling 
# of fishing mortality variance parameters
# Rows represent fleets. 
# Columns represent ages.
 1  1  1  1  1  1  
 0  0  0  0  0  0  
 0  0  0  0  0  0  
 0  0  0  0  0  0  
 0  0  0  0  0  0  

# The following vector describes the coupling 
# of the log N variance parameters at different 
# ages 
 1  2  2  2  2  2       
 
# The following matrix describes the coupling 
# of observation variance parameters
# Rows represent fleets. 
# Columns represent ages.
 1  2  2  2  2  2 
 3  4  4  0  0  0 
 5  6  6  0  0  0 
 7  8  8  8  8  8 
 9 10 10 10  0  0 

# Stock recruitment model code (0=RW, 1=Ricker, 2=BH, ... more in time)
2

# Years in which catch data are to be scaled by an estimated parameter 
  # first the number of years 
8
# Then the actual years 
2003 2004 2005 2006 2007 2008 2009 2010

  # Them the model config lines years cols ages 
1 1 1 1 1 1
2 2 2 2 2 2 
3 3 3 3 3 3 
4 4 4 4 4 4 
5 5 5 5 5 5
6 6 6 6 6 6
7 7 7 7 7 7 
8 8 8 8 8 8
# Define Fbar range 
3 5