Conditional Logit Estimates

             Algorithm converged.


                                                      Model Fit Summary

                                         Dependent Variable                        y
                                         Number of Observations                 1086
                                         Number of Cases                       77106
                                         Log Likelihood                        -2632
                                         Maximum Absolute Gradient        2.28488E-9
                                         Number of Iterations                      8
                                         Optimization Method          Newton-Raphson
                                         AIC                                    5274
                                         Schwarz Criterion                      5299


                                                  Discrete Response Profile

                                           Index     site     Frequency    Percent

                                             0          1             3       0.28
                                             1          2             1       0.09
                                             2          3             1       0.09
                                             3          4             2       0.18
                                             4          5             3       0.28
                                             5          6             4       0.37
                                             6          7             1       0.09
                                             7          8             1       0.09
                                             8          9             8       0.74
                                             9         10            12       1.10
                                            10         11             5       0.46
                                            11         12             1       0.09
                                            12         13            11       1.01
                                            13         14             5       0.46
                                            14         15            87       8.01
                                            15         16             2       0.18
                                            16         17            10       0.92
                                            17         18             7       0.64
                                            18         19            17       1.57
                                            19         20             3       0.28
                                            20         21            25       2.30
                                            21         22             3       0.28
                                            22         23            15       1.38
                                            23         24             1       0.09
                                            24         25             3       0.28
                                            25         26             2       0.18
                                            26         27            15       1.38
                                            27         28             2       0.18
                                            28         29             2       0.18
                                            29         30            11       1.01
                                            30         31             2       0.18
                                            31         32             3       0.28
                                            32         33             7       0.64
                                            33         34            37       3.41
                                            34         35             6       0.55
                                            35         36             4       0.37
                                            36         37             6       0.55
                                            37         38            20       1.84
                                            38         39             2       0.18
                                            39         40             2       0.18
                                            40         41             2       0.18
                                            41         42             1       0.09
                                            42         43             1       0.09
                                            43         44             3       0.28
                                            44         45             8       0.74
                                            45         46            64       5.89
                                            46         47            10       0.92
                                            47         48            18       1.66
                                            48         49             3       0.28
                                            49         50            10       0.92
                                            50         51            44       4.05
                                            51         52            53       4.88
                                            52         53            22       2.03
                                            53         54            10       0.92
                                            54         55            29       2.67
                                            55         56            68       6.26
                                            56         57           174      16.02
                                            57         58             7       0.64
                                            58         59            23       2.12
                                            59         60             9       0.83
                                            60         61            20       1.84
                                            61         62             3       0.28
                                            62         63            98       9.02
                                            63         64            27       2.49
                                            64         65             1       0.09
                                            65         66             3       0.28
                                            66         67             3       0.28
                                            67         68             5       0.46
                                            68         69             4       0.37
                                            69         70             4       0.37
                                            70         71             7       0.64

                                                       The SAS System                        14:04 Tuesday, June 2, 2009 2807

                                                      The MDC Procedure

                                                 Conditional Logit Estimates

                                                  Goodness-of-Fit Measures

                         Measure                       Value    Formula

                         Likelihood Ratio (R)         3994.3    2 * (LogL - LogL0)
                         Upper Bound of R (U)         9258.5    - 2 * LogL0
                         Aldrich-Nelson               0.7862    R / (R+N)
                         Cragg-Uhler 1                0.9747    1 - exp(-R/N)
                         Cragg-Uhler 2                0.9749    (1-exp(-R/N)) / (1-exp(-U/N))
                         Estrella                     0.9919    1 - (1-R/U)^(U/N)
                         Adjusted Estrella            0.9917    1 - ((LogL-K)/LogL0)^(-2/N*LogL0)
                         McFadden's LRI               0.4314    R / U
                         Veall-Zimmermann             0.8785    (R * (U+N)) / (U * (R+N))

                         N = # of observations, K = # of regressors

                                                       The SAS System                        14:04 Tuesday, June 2, 2009 2808

                                                      The MDC Procedure

                                                 Conditional Logit Estimates

                                                     Parameter Estimates

                                                                Standard                 Approx
                              Parameter     DF     Estimate        Error    t Value    Pr > |t|

                              tcfee          1      -0.0315     0.001064     -29.65     <.0001
                              snapper        1       1.0689       0.1104       9.68     <.0001
                              grouper        1       3.9933       0.1855      21.52     <.0001
                              redsnapper     1       7.2615       0.3019      24.06     <.0001
                              lognsite       1       0.8552       0.0518      16.52     <.0001