In this study, we propose a function-on-function linear quantile regression model that allows for more than one functional predictor to establish flexible and robust approach. The proposed is first transformed into finitedimensional space via the principal component analysis paradigm in estimation phase. It then approximated using estimated functions, parameter of constructed based on scores. a...