A direct method for estimating the parameters of the learning curve time constant model from historical data is presented. Compared with present methods, an assumption on asymptotic performance is unnecessary, and it is much simpler to implement than least error squares curve fitting. An example shows that these advantages are obtained without serious penalties in accuracy