At present, no accommodated schematic eye model is commonly accepted as the perfect one, although a certain model might be most suitable for certain applications. Most actual morphologic and physiologic parameters of the human eye are widely spread around their mean values in broad statistical distributions.16 Thus, the idea of defining a perfect eye model able to describe in detail the human eye parameters in a large population, although attractive, does not seem to be possible in practice. An alternative approach is based on stochastic modeling, which can produce an unlimited amount of synthetic biometry datasets that have statistical properties identical to those of the original data on which they are based. This method requires no biometry measurements from the end user, apart from the initial data needed to define the model.1