Statistical models in .

 This section presumes the reader has some familiarity with statistical methodology, in particular with regression analysis and the analysis of variance. Later we make some rather more ambitious presumptions, namely that something is known about generalized linear models and nonlinear regression.

The requirements for fitting statistical models are sufficiently well defined to make it possible to construct general tools that apply in a broad spectrum of problems. Since the August 1991 release . provides an interlocking suite of facilities that make fitting statistical models very simple. However these are not at the same high level as those in, say, Genstat, especially in the form of the output which in keeping with general . policy is rather minimal.