Pearson Correlation Matrix
> r0
              Numeracy    Geslacht       Drugs      Fruit       Sport
Numeracy    1.00000000 -0.03066497 -0.33681284  0.2350981 -0.10032511
Geslacht   -0.03066497  1.00000000  0.00000000  0.0000000  0.11547005
Drugs      -0.33681284  0.00000000  1.00000000 -0.4364358  0.12598816
Fruit       0.23509813  0.00000000 -0.43643578  1.0000000 -0.11547005
Sport      -0.10032511  0.11547005  0.12598816 -0.1154701  1.00000000
Alcohol     0.23680612 -0.10482848 -0.48038446  0.3144855  0.06052275
Gebgewicht  0.27310579  0.21038067 -0.03443162  0.2366783 -0.09109750
               Alcohol  Gebgewicht
Numeracy    0.23680612  0.27310579
Geslacht   -0.10482848  0.21038067
Drugs      -0.48038446 -0.03443162
Fruit       0.31448545  0.23667826
Sport       0.06052275 -0.09109750
Alcohol     1.00000000 -0.01102694
Gebgewicht -0.01102694  1.00000000


Partial Pearson Correlation Matrix (Shrinkage Method)
> r1
           Numeracy Geslacht Drugs Fruit Sport Alcohol Gebgewicht
Numeracy          1        0     0     0     0       0          0
Geslacht          0        1     0     0     0       0          0
Drugs             0        0     1     0     0       0          0
Fruit             0        0     0     1     0       0          0
Sport             0        0     0     0     1       0          0
Alcohol           0        0     0     0     0       1          0
Gebgewicht        0        0     0     0     0       0          1
attr(,"lambda")
[1] 1
attr(,"lambda.estimated")
[1] TRUE
attr(,"class")
[1] "shrinkage"
attr(,"spv")
  Numeracy   Geslacht      Drugs      Fruit      Sport    Alcohol Gebgewicht 
         1          1          1          1          1          1          1