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Collinearity diagnostics 1

Model: MODEL1
Dependent Variable: OXY
                                   Analysis of Variance

                                      Sum of         Mean
             Source          DF      Squares       Square      F Value       Prob>F
             Model            6    722.54361    120.42393       22.433       0.0001
             Error           24    128.83794      5.36825
             C Total         30    851.38154

                 Root MSE       2.31695     R-square       0.8487
                 Dep Mean      47.37581     Adj R-sq       0.8108
                 C.V.           4.89057
                                   Parameter Estimates

                     Parameter      Standard    T for H0:                     Variance
    Variable  DF      Estimate         Error   Parameter=0    Prob > |T|     Inflation
    INTERCEP   1    102.934479   12.40325810         8.299        0.0001    0.00000000
    AGE        1     -0.226974    0.09983747        -2.273        0.0322    1.51283618
    WEIGHT     1     -0.074177    0.05459316        -1.359        0.1869    1.15532940
    RUNTIME    1     -2.628653    0.38456220        -6.835        0.0001    1.59086788
    RSTPULSE   1     -0.021534    0.06605428        -0.326        0.7473    1.41558865
    RUNPULSE   1     -0.369628    0.11985294        -3.084        0.0051    8.43727418
    MAXPULSE   1      0.303217    0.13649519         2.221        0.0360    8.74384843


                       Collinearity Diagnostics(intercept adjusted)

                     Condition  Var Prop  Var Prop  Var Prop  Var Prop  Var Prop  Var Prop
Number  Eigenvalue       Index  AGE       WEIGHT    RUNTIME   RSTPULSE  RUNPULSE  MAXPULSE
     1     2.57492     1.00000    0.0256    0.0189    0.0190    0.0347    0.0147    0.0143
     2     1.32776     1.39258    0.1571    0.0245    0.2106    0.0935    0.0002    0.0021
     3     0.92509     1.66836    0.0041    0.7936    0.0382    0.0139    0.0057    0.0033
     4     0.74322     1.86133    0.2536    0.0004    0.0045    0.4415    0.0217    0.0167
     5     0.36868     2.64277    0.5206    0.1302    0.7048    0.4115    0.0043    0.0039
     6     0.06033     6.53301    0.0390    0.0324    0.0228    0.0049    0.9535    0.9597

Collinearity diagnostics 2

                               Principal Component Analysis
      31 Observations
       6 Variables

                                    Simple Statistics
                AGE        WEIGHT       RUNTIME      RSTPULSE      RUNPULSE      MAXPULSE

 Mean   47.67741935   77.44451613   10.58612903   53.45161290   169.6451613   173.7741935
 StD     5.21144316    8.32856764    1.38741409    7.61944315    10.2519864     9.1640954

                                    Correlation Matrix
                    AGE       WEIGHT      RUNTIME     RSTPULSE     RUNPULSE     MAXPULSE

  AGE            1.0000       -.2335       0.1887       -.1641       -.3379       -.4329
  WEIGHT         -.2335       1.0000       0.1435       0.0440       0.1815       0.2494
  RUNTIME        0.1887       0.1435       1.0000       0.4504       0.3136       0.2261
  RSTPULSE       -.1641       0.0440       0.4504       1.0000       0.3525       0.3051
  RUNPULSE       -.3379       0.1815       0.3136       0.3525       1.0000       0.9298
  MAXPULSE       -.4329       0.2494       0.2261       0.3051       0.9298       1.0000

                          Eigenvalues of the Correlation Matrix

                     Eigenvalue      Difference      Proportion      Cumulative
          PRIN1         2.57492         1.24716        0.429153         0.42915
          PRIN2         1.32776         0.40267        0.221294         0.65045
          PRIN3         0.92509         0.18187        0.154182         0.80463
          PRIN4         0.74322         0.37455        0.123870         0.92850
          PRIN5         0.36868         0.30835        0.061446         0.98994
          PRIN6         0.06033          .             0.010055         1.00000

                                       Eigenvectors
                  PRIN1        PRIN2        PRIN3        PRIN4        PRIN5        PRIN6

  AGE          -.315604     0.561758     0.075998     0.533971     0.538851     0.059676
  WEIGHT       0.236969     -.193942     0.920944     -.019323     0.235503     -.047525
  RUNTIME      0.279231     0.667027     0.236987     0.073180     -.642960     0.046779
  RSTPULSE     0.355498     0.419155     -.134949     -.681579     0.463410     0.020500
  RUNPULSE     0.564677     -.041347     -.211771     0.368639     0.115555     -.696660
  MAXPULSE     0.566596     -.156487     -.163905     0.329699     0.112601     0.711503

Collinearity diagnostics 3 Incomplete PCA regression

Model: MODEL1
Dependent Variable: OXY
                                   Analysis of Variance

                                      Sum of         Mean
             Source          DF      Squares       Square      F Value       Prob>F
             Model            5    687.47494    137.49499       20.972       0.0001
             Error           25    163.90660      6.55626
             C Total         30    851.38154

                 Root MSE       2.56052     R-square       0.8075
                 Dep Mean      47.37581     Adj R-sq       0.7690
                 C.V.           5.40470
                                   Parameter Estimates

                     Parameter      Standard    T for H0:                     Variance
    Variable  DF      Estimate         Error   Parameter=0    Prob > |T|     Inflation
    INTERCEP   1     47.375806    0.45988302       103.017        0.0001    0.00000000
    PRIN1      1     -1.415167    0.29133040        -4.858        0.0001    1.00000000
    PRIN2      1     -3.324259    0.40570217        -8.194        0.0001    1.00000000
    PRIN3      1     -1.153961    0.48604405        -2.374        0.0256    1.00000000
    PRIN4      1     -1.255526    0.54226097        -2.315        0.0291    1.00000000
    PRIN5      1      1.360985    0.76991952         1.768        0.0893    1.00000000

Collinearity diagnostics 4 Incomplete PCA regression

Model: MODEL1
Dependent Variable: OXY
                                   Analysis of Variance

                                      Sum of         Mean
             Source          DF      Squares       Square      F Value       Prob>F
             Model            6    722.54361    120.42393       22.433       0.0001
             Error           24    128.83794      5.36825
             C Total         30    851.38154

                 Root MSE       2.31695     R-square       0.8487
                 Dep Mean      47.37581     Adj R-sq       0.8108
                 C.V.           4.89057
                                   Parameter Estimates

                     Parameter      Standard    T for H0:                     Variance
    Variable  DF      Estimate         Error   Parameter=0    Prob > |T|     Inflation
    INTERCEP   1    102.934479   12.40325810         8.299        0.0001    0.00000000
    AGE        1     -0.226974    0.09983747        -2.273        0.0322    1.51283618
    WEIGHT     1     -0.074177    0.05459316        -1.359        0.1869    1.15532940
    RUNTIME    1     -2.628653    0.38456220        -6.835        0.0001    1.59086788
    RSTPULSE   1     -0.021534    0.06605428        -0.326        0.7473    1.41558865
    PULSE      1     -0.033205    0.02779726        -1.195        0.2439    1.57085956
    PDIFF      1      0.336422    0.12539994         2.683        0.0130    1.26394065