1. An apparatus to process data, comprising: a storage unit to store a plurality of training data obtained by motion sensing; a first calculator to calculate a first transformation matrix by performing a regression analysis using the training data; and a second calculator to calculate output data by applying the first transformation matrix to input data, wherein the input data corresponds to n1 feature points among n points associated with an object, where n1 is less than n and each of n and n1 denote a natural number, wherein the output data includes physical information for the n points of the object for a single frame, the physical information being obtained by the applying of the first transformation matrix to the input data, wherein the first transformation matrix is related to a correlation between physical information associated with n1 feature points and physical information associated with n points, and wherein the regression analysis corresponds to a non-linear analysis based on a kernel canonical correlation analysis (KCCA).