Bridging the gap between B-spline and polynomial regression model

B-splines are flexible smoothers and a linear curve including a constant line is a hard but meaningful in practical situations. In this paper, we propose a method to select the better of two types of models by using an information criterion in order to take both advantages. Numerical study and an example of multiple nonparametric regression analysis showed good performance of our methodology.