1. A method of statistically modeling integrated circuits using model parameters, comprising the steps of: determining a variance-covariance matrix for data to be modeled; conducting principal component analysis on the variance-covariance matrix; and creating a statistical model with an independent distribution for each principal component, allowing calculation of each individual model parameter as a weighted sum.