Figure 3
The importance of each variable to the prediction of HV (cm per year) was assessed by partial least squares regression (PLSR). Variables were plotted according to their importance in the prediction of HV. A cutoff (dashed line) of 0.8 has been used to identify ‘important‘ variables. High values indicate that the variable has high impact in the prediction of HV. Panel (a) shows the effect of latitude, summer daylight and the main clinical variables; and panel (b) includes the effect of genotypes.
