Abstract
In this paper, we survey methods for curve fitting for multidimensional data without external criterion. Curve fitting is a fundamental techunique for data analysis. Principal Components Analysis find out a line or linear subspace fitted for the data. But, it is not easy to get nonlinear curve fitting. We introduce three methods for nonlinear curve fitting; Generalized Principal Components Analysis, Algebraic Curve Fitting, and Principal Curve.