The correlated random variables can be mapped into uncorrelated form by using a linear transformation. On this basis

a design method of an optimal vector compandor with least mean square error criterion is derived. The nonlinear companding function is the error function with a scaled coordinate system for the Guassian source. It is shown that the limiting information rate is the Shannon’s lower bound of the memoryless Gaussian source.