1. A hybrid predictor comprising: a model parameter estimator for receiving a control signal from a controller included in a process controller and an output signal from a process to be controlled, estimating parameters of a parameter model for minimizing a difference of the process output signal from a model response signal, based on a correlation between the control signal and the process output signal, and outputting the estimated model parameters; a model response converter for receiving the model parameters from the model parameter estimator, and generating unit model response coefficients for respective unit signal elements of the control signal, based on the model parameters; a model response unit for receiving the control signal from the controller, the model response coefficients from the model response converter, and the model parameters from the model parameter estimator, the model response unit serving to generate a model response vector indicative of a process output signal influenced by the control signal input applied to the process at the current time, based on the control signal and the model response coefficients; and a prediction vector unit for receiving the model response vector from the model response unit and the process output signal, the prediction vector unit serving to correct the model response vector, based on the process output signal, thereby outputting a corrected prediction vector.