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Stepwise simulation experiment: add random predictors to Fitness data 1

 N = 31     Regression Models for Dependent Variable: OXY

        R-square       MSE  Variables in Model
  In
     1  0.743380    7.5338  RUNTIME
     1  0.161578   24.6144  X15
     1  0.159485   24.6758  RSTPULSE
     1  0.158383   24.7082  RUNPULSE
     1  0.105235   26.2685  X13
-------------------------------
     2  0.777053    6.7790  RUNTIME X10
     2  0.775300    6.8323  RUNTIME X5
     2  0.764998    7.1456  RUNTIME X4
     2  0.764247    7.1684  RUNTIME AGE
     2  0.761424    7.2543  RUNTIME RUNPULSE
--------------------------------------------
     3  0.811094    5.9567  RUNTIME AGE RUNPULSE
     3  0.809988    5.9916  RUNTIME RUNPULSE MAXPULSE
     3  0.806998    6.0859  RUNTIME AGE X5
     3  0.798573    6.3515  RUNTIME X5 X10
     3  0.798568    6.3517  RUNTIME X4 X10
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     4  0.866199    4.3814  RUNTIME AGE RUNPULSE X5
     4  0.839904    5.2424  RUNTIME AGE MAXPULSE X5
     4  0.836818    5.3435  RUNTIME AGE RUNPULSE MAXPULSE
     4  0.832121    5.4973  RUNTIME RUNPULSE MAXPULSE X9
     4  0.831236    5.5262  RUNTIME RUNPULSE MAXPULSE X5
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     5  0.879484    4.1042  RUNTIME AGE RUNPULSE X5 X13
     5  0.877955    4.1563  RUNTIME AGE RUNPULSE X5 X7
     5  0.876680    4.1997  RUNTIME AGE RUNPULSE MAXPULSE X5
     5  0.874154    4.2857  RUNTIME AGE RUNPULSE X5 X11
     5  0.871268    4.3840  RUNTIME AGE RUNPULSE X1 X5
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     6  0.892670    3.8074  RUNTIME AGE RUNPULSE X1 X5 X13
     6  0.888824    3.9439  RUNTIME AGE RUNPULSE X5 X7 X13
     6  0.886823    4.0149  RUNTIME AGE RUNPULSE MAXPULSE X5 X11
     6  0.886056    4.0421  RUNTIME AGE RUNPULSE X5 X11 X13
     6  0.885899    4.0476  RUNTIME AGE RUNPULSE MAXPULSE X5 X7
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