Hierarchical multivariate regression-based sensitivity analysis reveals complex parameter interaction patterns in dynamic models

► The behaviour of a nonlinear dynamic model of the mouse heart cell was studied. ► Hierarchical cluster-based PLSR was used for multivariate sensitivity analysis. ► The observations were clustered, and local PLSR models were calibrated. ► The global and local regression coefficients were used as sensitivity measures. ► Complex interaction patterns between the input parameters were detected.