Figure 14.

The correlation among the parameters in all reversible models. Each heat map shows to which extent each parameter is correlated with all other ones. The main diagonal shows the self correlation, which equals one. The correlation was computed using a multiple correlation analysis based on the Pearson correlation coefficient. If two parameters are highly correlated, one of both can be replaced by the other one hence reducing the system's dimensionality.