In statistics, the theory of minimum norm quaratic unbiased estimation (MINQUE) was developed by C.R. Rao. It extends the root mean square (RMS) method for estimating the variance of the observational error of a linear model to estimating the covariance matrix of all observational errors of a multiple linear model. The inverse problem of solving these error variances and covariances is much more demanding than solving the model itself.