The SAS System                               1
                                             14:49 Thursday, February 28, 2013

                              The GLM Procedure

                           Class Level Information
 
                     Class         Levels    Values

                     machine            6    1 2 3 4 5 6 

                     subject            3    1 2 3       


                   Number of Observations Read         180
                   Number of Observations Used         180
                                The SAS System                               2
                                             14:49 Thursday, February 28, 2013

                              The GLM Procedure
 
Dependent Variable: bac   

                                      Sum of
Source                     DF        Squares    Mean Square   F Value   Pr > F

Model                      17     0.02411331     0.00141843    255.77   <.0001

Error                     162     0.00089840     0.00000555                   

Corrected Total           179     0.02501171                                  


              R-Square     Coeff Var      Root MSE      bac Mean

              0.964081      3.178614      0.002355      0.074087


Source                     DF      Type I SS    Mean Square   F Value   Pr > F

machine                     5     0.00190059     0.00038012     68.54   <.0001
subject                     2     0.02190440     0.01095220   1974.90   <.0001
machine*subject            10     0.00030831     0.00003083      5.56   <.0001


Source                     DF    Type III SS    Mean Square   F Value   Pr > F

machine                     5     0.00190059     0.00038012     68.54   <.0001
subject                     2     0.02190440     0.01095220   1974.90   <.0001
machine*subject            10     0.00030831     0.00003083      5.56   <.0001
                                The SAS System                               3
                                             14:49 Thursday, February 28, 2013

                             The Mixed Procedure

                              Model Information

            Data Set                     WORK.ONE                 
            Dependent Variable           bac                      
            Covariance Structure         Variance Components      
            Estimation Method            REML                     
            Residual Variance Method     Profile                  
            Fixed Effects SE Method      Model-Based              
            Degrees of Freedom Method    Containment              


                           Class Level Information
 
             Class      Levels    Values

             machine         6    1 2 3 4 5 6                   
             subject         3    1 2 3                         


                                 Dimensions

                     Covariance Parameters             3
                     Columns in X                      7
                     Columns in Z                     21
                     Subjects                          1
                     Max Obs Per Subject             180


                           Number of Observations

                 Number of Observations Read             180
                 Number of Observations Used             180
                 Number of Observations Not Used           0


                              Iteration History
 
         Iteration    Evaluations    -2 Res Log Like       Criterion

                 0              1     -1039.01265552                
                 1              1     -1559.30371963      0.00000000


                          Convergence criteria met.                    


                                The SAS System                               4
                                             14:49 Thursday, February 28, 2013

                             The Mixed Procedure

                             Covariance Parameter
                                  Estimates
 
                         Cov Parm            Estimate

                         subject             0.000182
                         machine*subject     2.529E-6
                         Residual            5.546E-6


                               Fit Statistics

                    -2 Res Log Likelihood         -1559.3
                    AIC (smaller is better)       -1553.3
                    AICC (smaller is better)      -1553.2
                    BIC (smaller is better)       -1556.0


                        Type 3 Tests of Fixed Effects
 
                              Num     Den
                Effect         DF      DF    F Value    Pr > F

                machine         5      10      12.33    0.0005