The SAS System
Relationship between Total length and Fork length

The REG Procedure
Model: MODEL1
Dependent Variable: LogTotalLength

species=Bream

Analysis of Variance
Source DF Sum of
Squares
Mean
Square
F Value Pr > F
Model 1 0.40575 0.40575 11178.3 <.0001
Error 33 0.00120 0.00003630    
Corrected Total 34 0.40695      
 
Root MSE 0.00602 R-Square 0.9971
Dependent Mean 3.64110 Adj R-Sq 0.9970
Coeff Var 0.16547    
 
Parameter Estimates
Variable DF Parameter
Estimate
Standard
Error
t Value Pr > |t|
Intercept 1 0.42923 0.03040 14.12 <.0001
LogForkLength 1 0.91952 0.00870 105.73 <.0001


 
The SAS System
Relationship between Total length and Fork length

The REG Procedure
Model: MODEL1

species=Bream

Test 1 Results for Dependent Variable LogTotalLength
Source DF Mean
Square
F Value Pr > F
Numerator 1 0.00311 85.63 <.0001
Denominator 33 0.00003630    


 
The SAS System
Relationship between Total length and Fork length

The REG Procedure
Model: MODEL1
Dependent Variable: LogTotalLength

species=Perch

Analysis of Variance
Source DF Sum of
Squares
Mean
Square
F Value Pr > F
Model 1 6.48474 6.48474 113489 <.0001
Error 54 0.00309 0.00005714    
Corrected Total 55 6.48782      
 
Root MSE 0.00756 R-Square 0.9995
Dependent Mean 3.33219 Adj R-Sq 0.9995
Coeff Var 0.22685    
 
Parameter Estimates
Variable DF Parameter
Estimate
Standard
Error
t Value Pr > |t|
Intercept 1 0.06904 0.00974 7.09 <.0001
LogForkLength 1 0.99688 0.00296 336.88 <.0001


 
The SAS System
Relationship between Total length and Fork length

The REG Procedure
Model: MODEL1

species=Perch

Test 1 Results for Dependent Variable LogTotalLength
Source DF Mean
Square
F Value Pr > F
Numerator 1 0.00006361 1.11 0.2961
Denominator 54 0.00005714    


 
The SAS System
Relationship between Total length and Fork length

The REG Procedure
Model: MODEL1
Dependent Variable: LogTotalLength

species=Pike

Analysis of Variance
Source DF Sum of
Squares
Mean
Square
F Value Pr > F
Model 1 0.65767 0.65767 4412.95 <.0001
Error 15 0.00224 0.00014903    
Corrected Total 16 0.65991      
 
Root MSE 0.01221 R-Square 0.9966
Dependent Mean 3.86630 Adj R-Sq 0.9964
Coeff Var 0.31575    
 
Parameter Estimates
Variable DF Parameter
Estimate
Standard
Error
t Value Pr > |t|
Intercept 1 0.19017 0.05542 3.43 0.0037
LogForkLength 1 0.96831 0.01458 66.43 <.0001


 
The SAS System
Relationship between Total length and Fork length

The REG Procedure
Model: MODEL1

species=Pike

Test 1 Results for Dependent Variable LogTotalLength
Source DF Mean
Square
F Value Pr > F
Numerator 1 0.00070451 4.73 0.0461
Denominator 15 0.00014903    


 
The SAS System
Relationship between Total length and Fork length

The REG Procedure
Model: MODEL1
Dependent Variable: LogTotalLength

species=Roach

Analysis of Variance
Source DF Sum of
Squares
Mean
Square
F Value Pr > F
Model 1 0.50608 0.50608 3881.68 <.0001
Error 18 0.00235 0.00013038    
Corrected Total 19 0.50843      
 
Root MSE 0.01142 R-Square 0.9954
Dependent Mean 3.20516 Adj R-Sq 0.9951
Coeff Var 0.35625    
 
Parameter Estimates
Variable DF Parameter
Estimate
Standard
Error
t Value Pr > |t|
Intercept 1 0.17948 0.04863 3.69 0.0017
LogForkLength 1 0.97902 0.01571 62.30 <.0001


 
The SAS System
Relationship between Total length and Fork length

The REG Procedure
Model: MODEL1

species=Roach

Test 1 Results for Dependent Variable LogTotalLength
Source DF Mean
Square
F Value Pr > F
Numerator 1 0.00023236 1.78 0.1985
Denominator 18 0.00013038    


 
The SAS System
Relationship between Total length and Fork length

The REG Procedure
Model: MODEL1
Dependent Variable: LogTotalLength

species=Smelt

Analysis of Variance
Source DF Sum of
Squares
Mean
Square
F Value Pr > F
Model 1 0.14727 0.14727 1025.14 <.0001
Error 12 0.00172 0.00014365    
Corrected Total 13 0.14899      
 
Root MSE 0.01199 R-Square 0.9884
Dependent Mean 2.56230 Adj R-Sq 0.9875
Coeff Var 0.46777    
 
Parameter Estimates
Variable DF Parameter
Estimate
Standard
Error
t Value Pr > |t|
Intercept 1 0.30549 0.07056 4.33 0.0010
LogForkLength 1 0.91298 0.02851 32.02 <.0001


 
The SAS System
Relationship between Total length and Fork length

The REG Procedure
Model: MODEL1

species=Smelt

Test 1 Results for Dependent Variable LogTotalLength
Source DF Mean
Square
F Value Pr > F
Numerator 1 0.00134 9.31 0.0101
Denominator 12 0.00014365    


 
The SAS System
Relationship between Total length and Fork length

The REG Procedure
Model: MODEL1
Dependent Variable: LogTotalLength

species=Unknown

Analysis of Variance
Source DF Sum of
Squares
Mean
Square
F Value Pr > F
Model 1 0.31915 0.31915 139068 <.0001
Error 9 0.00002065 0.00000229    
Corrected Total 10 0.31917      
 
Root MSE 0.00151 R-Square 0.9999
Dependent Mean 3.11215 Adj R-Sq 0.9999
Coeff Var 0.04868    
 
Parameter Estimates
Variable DF Parameter
Estimate
Standard
Error
t Value Pr > |t|
Intercept 1 0.13158 0.00801 16.44 <.0001
LogForkLength 1 0.99403 0.00267 372.92 <.0001


 
The SAS System
Relationship between Total length and Fork length

The REG Procedure
Model: MODEL1

species=Unknown

Test 1 Results for Dependent Variable LogTotalLength
Source DF Mean
Square
F Value Pr > F
Numerator 1 0.00001152 5.02 0.0518
Denominator 9 0.00000229    


 
The SAS System
Relationship between Total length and Fork length

The REG Procedure
Model: MODEL1
Dependent Variable: LogTotalLength

species=Whitefish

Analysis of Variance
Source DF Sum of
Squares
Mean
Square
F Value Pr > F
Model 1 0.14452 0.14452 54687.6 <.0001
Error 4 0.00001057 0.00000264    
Corrected Total 5 0.14453      
 
Root MSE 0.00163 R-Square 0.9999
Dependent Mean 3.52332 Adj R-Sq 0.9999
Coeff Var 0.04614    
 
Parameter Estimates
Variable DF Parameter
Estimate
Standard
Error
t Value Pr > |t|
Intercept 1 0.22747 0.01411 16.12 <.0001
LogForkLength 1 0.96066 0.00411 233.85 <.0001


 
The SAS System
Relationship between Total length and Fork length

The REG Procedure
Model: MODEL1

species=Whitefish

Test 1 Results for Dependent Variable LogTotalLength
Source DF Mean
Square
F Value Pr > F
Numerator 1 0.00024230 91.69 0.0007
Denominator 4 0.00000264    


 
The SAS System
Relationship between Total length and Fork length

Obs species _MODEL_ _TYPE_ _DEPVAR_ _RMSE_ Intercept LogForkLength LogTotalLength
1 Bream MODEL1 PARMS LogTotalLength 0.006025 0.42923 0.91952 -1
2 Perch MODEL1 PARMS LogTotalLength 0.007559 0.06904 0.99688 -1
3 Pike MODEL1 PARMS LogTotalLength 0.012208 0.19017 0.96831 -1
4 Roach MODEL1 PARMS LogTotalLength 0.011418 0.17948 0.97902 -1
5 Smelt MODEL1 PARMS LogTotalLength 0.011986 0.30549 0.91298 -1
6 Unknown MODEL1 PARMS LogTotalLength 0.001515 0.13158 0.99403 -1
7 Whitefish MODEL1 PARMS LogTotalLength 0.001626 0.22747 0.96066 -1


 
The SAS System
Relationship between Standard length and Fork length

The REG Procedure
Model: MODEL1
Dependent Variable: LogStdLength

species=Bream

Analysis of Variance
Source DF Sum of
Squares
Mean
Square
F Value Pr > F
Model 1 0.48479 0.48479 7171.30 <.0001
Error 33 0.00223 0.00006760    
Corrected Total 34 0.48702      
 
Root MSE 0.00822 R-Square 0.9954
Dependent Mean 3.40443 Adj R-Sq 0.9953
Coeff Var 0.24151    
 
Parameter Estimates
Variable DF Parameter
Estimate
Standard
Error
t Value Pr > |t|
Intercept 1 -0.10636 0.04148 -2.56 0.0151
LogForkLength 1 1.00510 0.01187 84.68 <.0001


 
The SAS System
Relationship between Standard length and Fork length

The REG Procedure
Model: MODEL1

species=Bream

Test 1 Results for Dependent Variable LogStdLength
Source DF Mean
Square
F Value Pr > F
Numerator 1 0.00001249 0.18 0.6701
Denominator 33 0.00006760    


 
The SAS System
Relationship between Standard length and Fork length

The REG Procedure
Model: MODEL1
Dependent Variable: LogStdLength

species=Perch

Analysis of Variance
Source DF Sum of
Squares
Mean
Square
F Value Pr > F
Model 1 6.91695 6.91695 98824.5 <.0001
Error 54 0.00378 0.00006999    
Corrected Total 55 6.92073      
 
Root MSE 0.00837 R-Square 0.9995
Dependent Mean 3.18960 Adj R-Sq 0.9994
Coeff Var 0.26229    
 
Parameter Estimates
Variable DF Parameter
Estimate
Standard
Error
t Value Pr > |t|
Intercept 1 -0.18054 0.01078 -16.75 <.0001
LogForkLength 1 1.02956 0.00328 314.36 <.0001


 
The SAS System
Relationship between Standard length and Fork length

The REG Procedure
Model: MODEL1

species=Perch

Test 1 Results for Dependent Variable LogStdLength
Source DF Mean
Square
F Value Pr > F
Numerator 1 0.00570 81.48 <.0001
Denominator 54 0.00006999    


 
The SAS System
Relationship between Standard length and Fork length

The REG Procedure
Model: MODEL1
Dependent Variable: LogStdLength

species=Pike

Analysis of Variance
Source DF Sum of
Squares
Mean
Square
F Value Pr > F
Model 1 0.69870 0.69870 44921.0 <.0001
Error 15 0.00023331 0.00001555    
Corrected Total 16 0.69893      
 
Root MSE 0.00394 R-Square 0.9997
Dependent Mean 3.72820 Adj R-Sq 0.9996
Coeff Var 0.10578    
 
Parameter Estimates
Variable DF Parameter
Estimate
Standard
Error
t Value Pr > |t|
Intercept 1 -0.06086 0.01790 -3.40 0.0040
LogForkLength 1 0.99805 0.00471 211.95 <.0001


 
The SAS System
Relationship between Standard length and Fork length

The REG Procedure
Model: MODEL1

species=Pike

Test 1 Results for Dependent Variable LogStdLength
Source DF Mean
Square
F Value Pr > F
Numerator 1 0.00000266 0.17 0.6851
Denominator 15 0.00001555    


 
The SAS System
Relationship between Standard length and Fork length

The REG Procedure
Model: MODEL1
Dependent Variable: LogStdLength

species=Roach

Analysis of Variance
Source DF Sum of
Squares
Mean
Square
F Value Pr > F
Model 1 0.55518 0.55518 5916.30 <.0001
Error 18 0.00169 0.00009384    
Corrected Total 19 0.55687      
 
Root MSE 0.00969 R-Square 0.9970
Dependent Mean 3.01386 Adj R-Sq 0.9968
Coeff Var 0.32142    
 
Parameter Estimates
Variable DF Parameter
Estimate
Standard
Error
t Value Pr > |t|
Intercept 1 -0.15520 0.04126 -3.76 0.0014
LogForkLength 1 1.02541 0.01333 76.92 <.0001


 
The SAS System
Relationship between Standard length and Fork length

The REG Procedure
Model: MODEL1

species=Roach

Test 1 Results for Dependent Variable LogStdLength
Source DF Mean
Square
F Value Pr > F
Numerator 1 0.00034103 3.63 0.0727
Denominator 18 0.00009384    


 
The SAS System
Relationship between Standard length and Fork length

The REG Procedure
Model: MODEL1
Dependent Variable: LogStdLength

species=Smelt

Analysis of Variance
Source DF Sum of
Squares
Mean
Square
F Value Pr > F
Model 1 0.14581 0.14581 2186.57 <.0001
Error 12 0.00080024 0.00006669    
Corrected Total 13 0.14661      
 
Root MSE 0.00817 R-Square 0.9945
Dependent Mean 2.41571 Adj R-Sq 0.9941
Coeff Var 0.33804    
 
Parameter Estimates
Variable DF Parameter
Estimate
Standard
Error
t Value Pr > |t|
Intercept 1 0.17005 0.04807 3.54 0.0041
LogForkLength 1 0.90847 0.01943 46.76 <.0001


 
The SAS System
Relationship between Standard length and Fork length

The REG Procedure
Model: MODEL1

species=Smelt

Test 1 Results for Dependent Variable LogStdLength
Source DF Mean
Square
F Value Pr > F
Numerator 1 0.00148 22.19 0.0005
Denominator 12 0.00006669    


 
The SAS System
Relationship between Standard length and Fork length

The REG Procedure
Model: MODEL1
Dependent Variable: LogStdLength

species=Unknown

Analysis of Variance
Source DF Sum of
Squares
Mean
Square
F Value Pr > F
Model 1 0.32439 0.32439 80753.8 <.0001
Error 9 0.00003615 0.00000402    
Corrected Total 10 0.32442      
 
Root MSE 0.00200 R-Square 0.9999
Dependent Mean 2.91553 Adj R-Sq 0.9999
Coeff Var 0.06874    
 
Parameter Estimates
Variable DF Parameter
Estimate
Standard
Error
t Value Pr > |t|
Intercept 1 -0.08940 0.01059 -8.44 <.0001
LogForkLength 1 1.00215 0.00353 284.17 <.0001


 
The SAS System
Relationship between Standard length and Fork length

The REG Procedure
Model: MODEL1

species=Unknown

Test 1 Results for Dependent Variable LogStdLength
Source DF Mean
Square
F Value Pr > F
Numerator 1 0.00000150 0.37 0.5568
Denominator 9 0.00000402    


 
The SAS System
Relationship between Standard length and Fork length

The REG Procedure
Model: MODEL1
Dependent Variable: LogStdLength

species=Whitefish

Analysis of Variance
Source DF Sum of
Squares
Mean
Square
F Value Pr > F
Model 1 0.17560 0.17560 93448.6 <.0001
Error 4 0.00000752 0.00000188    
Corrected Total 5 0.17560      
 
Root MSE 0.00137 R-Square 1.0000
Dependent Mean 3.34541 Adj R-Sq 0.9999
Coeff Var 0.04098    
 
Parameter Estimates
Variable DF Parameter
Estimate
Standard
Error
t Value Pr > |t|
Intercept 1 -0.28762 0.01190 -24.17 <.0001
LogForkLength 1 1.05894 0.00346 305.69 <.0001


 
The SAS System
Relationship between Standard length and Fork length

The REG Procedure
Model: MODEL1

species=Whitefish

Test 1 Results for Dependent Variable LogStdLength
Source DF Mean
Square
F Value Pr > F
Numerator 1 0.00054399 289.50 <.0001
Denominator 4 0.00000188    


 
The SAS System
Relationship between Standard length and Fork length

Obs species _MODEL_ _TYPE_ _DEPVAR_ _RMSE_ Intercept LogForkLength LogStdLength
1 Bream MODEL1 PARMS LogStdLength .008221997 -0.10636 1.00510 -1
2 Perch MODEL1 PARMS LogStdLength .008366141 -0.18054 1.02956 -1
3 Pike MODEL1 PARMS LogStdLength .003943850 -0.06086 0.99805 -1
4 Roach MODEL1 PARMS LogStdLength .009687088 -0.15520 1.02541 -1
5 Smelt MODEL1 PARMS LogStdLength .008166173 0.17005 0.90847 -1
6 Unknown MODEL1 PARMS LogStdLength .002004242 -0.08940 1.00215 -1
7 Whitefish MODEL1 PARMS LogStdLength .001370789 -0.28762 1.05894 -1


 
The SAS System
Relationship between Total length and Weight

The REG Procedure
Model: MODEL1
Dependent Variable: LogWeight

species=Bream

Analysis of Variance
Source DF Sum of
Squares
Mean
Square
F Value Pr > F
Model 1 3.90449 3.90449 425.24 <.0001
Error 32 0.29382 0.00918    
Corrected Total 33 4.19831      
 
Root MSE 0.09582 R-Square 0.9300
Dependent Mean 6.38146 Adj R-Sq 0.9278
Coeff Var 1.50157    
 
Parameter Estimates
Variable DF Parameter
Estimate
Standard
Error
t Value Pr > |t|
Intercept 1 -3.59225 0.48394 -7.42 <.0001
LogForkLength 1 2.85471 0.13843 20.62 <.0001


 
The SAS System
Relationship between Total length and Weight

The REG Procedure
Model: MODEL1

species=Bream

Test 1 Results for Dependent Variable LogWeight
Source DF Mean
Square
F Value Pr > F
Numerator 1 0.01011 1.10 0.3018
Denominator 32 0.00918    


 
The SAS System
Relationship between Total length and Weight

The REG Procedure
Model: MODEL1
Dependent Variable: LogWeight

species=Perch

Analysis of Variance
Source DF Sum of
Squares
Mean
Square
F Value Pr > F
Model 1 64.87019 64.87019 4686.31 <.0001
Error 54 0.74749 0.01384    
Corrected Total 55 65.61768      
 
Root MSE 0.11765 R-Square 0.9886
Dependent Mean 5.45984 Adj R-Sq 0.9884
Coeff Var 2.15490    
 
Parameter Estimates
Variable DF Parameter
Estimate
Standard
Error
t Value Pr > |t|
Intercept 1 -4.86097 0.15158 -32.07 <.0001
LogForkLength 1 3.15296 0.04606 68.46 <.0001


 
The SAS System
Relationship between Total length and Weight

The REG Procedure
Model: MODEL1

species=Perch

Test 1 Results for Dependent Variable LogWeight
Source DF Mean
Square
F Value Pr > F
Numerator 1 0.15267 11.03 0.0016
Denominator 54 0.01384    


 
The SAS System
Relationship between Total length and Weight

The REG Procedure
Model: MODEL1
Dependent Variable: LogWeight

species=Pike

Analysis of Variance
Source DF Sum of
Squares
Mean
Square
F Value Pr > F
Model 1 6.72386 6.72386 570.95 <.0001
Error 15 0.17665 0.01178    
Corrected Total 16 6.90051      
 
Root MSE 0.10852 R-Square 0.9744
Dependent Mean 6.36979 Adj R-Sq 0.9727
Coeff Var 1.70367    
 
Parameter Estimates
Variable DF Parameter
Estimate
Standard
Error
t Value Pr > |t|
Intercept 1 -5.38447 0.49263 -10.93 <.0001
LogForkLength 1 3.09612 0.12957 23.89 <.0001


 
The SAS System
Relationship between Total length and Weight

The REG Procedure
Model: MODEL1

species=Pike

Test 1 Results for Dependent Variable LogWeight
Source DF Mean
Square
F Value Pr > F
Numerator 1 0.00648 0.55 0.4697
Denominator 15 0.01178    


 
The SAS System
Relationship between Total length and Weight

The REG Procedure
Model: MODEL1
Dependent Variable: LogWeight

species=Roach

Analysis of Variance
Source DF Sum of
Squares
Mean
Square
F Value Pr > F
Model 1 4.82932 4.82932 370.38 <.0001
Error 17 0.22166 0.01304    
Corrected Total 18 5.05099      
 
Root MSE 0.11419 R-Square 0.9561
Dependent Mean 4.94973 Adj R-Sq 0.9535
Coeff Var 2.30695    
 
Parameter Estimates
Variable DF Parameter
Estimate
Standard
Error
t Value Pr > |t|
Intercept 1 -4.45422 0.48934 -9.10 <.0001
LogForkLength 1 3.03922 0.15792 19.25 <.0001


 
The SAS System
Relationship between Total length and Weight

The REG Procedure
Model: MODEL1

species=Roach

Test 1 Results for Dependent Variable LogWeight
Source DF Mean
Square
F Value Pr > F
Numerator 1 0.00080403 0.06 0.8069
Denominator 17 0.01304    


 
The SAS System
Relationship between Total length and Weight

The REG Procedure
Model: MODEL1
Dependent Variable: LogWeight

species=Smelt

Analysis of Variance
Source DF Sum of
Squares
Mean
Square
F Value Pr > F
Model 1 1.34729 1.34729 165.73 <.0001
Error 12 0.09755 0.00813    
Corrected Total 13 1.44485      
 
Root MSE 0.09016 R-Square 0.9325
Dependent Mean 2.35912 Adj R-Sq 0.9269
Coeff Var 3.82193    
 
Parameter Estimates
Variable DF Parameter
Estimate
Standard
Error
t Value Pr > |t|
Intercept 1 -4.46701 0.53079 -8.42 <.0001
LogForkLength 1 2.76148 0.21451 12.87 <.0001


 
The SAS System
Relationship between Total length and Weight

The REG Procedure
Model: MODEL1

species=Smelt

Test 1 Results for Dependent Variable LogWeight
Source DF Mean
Square
F Value Pr > F
Numerator 1 0.01005 1.24 0.2879
Denominator 12 0.00813    


 
The SAS System
Relationship between Total length and Weight

The REG Procedure
Model: MODEL1
Dependent Variable: LogWeight

species=Unknown

Analysis of Variance
Source DF Sum of
Squares
Mean
Square
F Value Pr > F
Model 1 2.93931 2.93931 437.37 <.0001
Error 9 0.06048 0.00672    
Corrected Total 10 2.99980      
 
Root MSE 0.08198 R-Square 0.9798
Dependent Mean 4.91503 Adj R-Sq 0.9776
Coeff Var 1.66790    
 
Parameter Estimates
Variable DF Parameter
Estimate
Standard
Error
t Value Pr > |t|
Intercept 1 -4.13031 0.43322 -9.53 <.0001
LogForkLength 1 3.01665 0.14424 20.91 <.0001


 
The SAS System
Relationship between Total length and Weight

The REG Procedure
Model: MODEL1

species=Unknown

Test 1 Results for Dependent Variable LogWeight
Source DF Mean
Square
F Value Pr > F
Numerator 1 0.00008955 0.01 0.9106
Denominator 9 0.00672    


 
The SAS System
Relationship between Total length and Weight

The REG Procedure
Model: MODEL1
Dependent Variable: LogWeight

species=Whitefish

Analysis of Variance
Source DF Sum of
Squares
Mean
Square
F Value Pr > F
Model 1 1.63260 1.63260 180.24 0.0002
Error 4 0.03623 0.00906    
Corrected Total 5 1.66883      
 
Root MSE 0.09517 R-Square 0.9783
Dependent Mean 6.13406 Adj R-Sq 0.9729
Coeff Var 1.55154    
 
Parameter Estimates
Variable DF Parameter
Estimate
Standard
Error
t Value Pr > |t|
Intercept 1 -4.94366 0.82605 -5.98 0.0039
LogForkLength 1 3.22889 0.24051 13.43 0.0002


 
The SAS System
Relationship between Total length and Weight

The REG Procedure
Model: MODEL1

species=Whitefish

Test 1 Results for Dependent Variable LogWeight
Source DF Mean
Square
F Value Pr > F
Numerator 1 0.00820 0.91 0.3951
Denominator 4 0.00906    


 
The SAS System
Relationship between Total length and Weight

Obs species _MODEL_ _TYPE_ _DEPVAR_ _RMSE_ Intercept LogForkLength LogWeight
1 Bream MODEL1 PARMS LogWeight 0.09582 -3.59225 2.85471 -1
2 Perch MODEL1 PARMS LogWeight 0.11765 -4.86097 3.15296 -1
3 Pike MODEL1 PARMS LogWeight 0.10852 -5.38447 3.09612 -1
4 Roach MODEL1 PARMS LogWeight 0.11419 -4.45422 3.03922 -1
5 Smelt MODEL1 PARMS LogWeight 0.09016 -4.46701 2.76148 -1
6 Unknown MODEL1 PARMS LogWeight 0.08198 -4.13031 3.01665 -1
7 Whitefish MODEL1 PARMS LogWeight 0.09517 -4.94366 3.22889 -1