Design of experiments Genstat has a comprehensive set of facilities for design of experiments. Collectively, these are known as the Genstat Design System....
Program control A Genstat program consists of a sequence of one or more jobs. The first job starts automatically at the start...
Regression and generalized linear models Genstat provides directives for carrying out linear and nonlinear regression, also generalized linear, generalized additive and generalized nonlinear models. They...
REML analysis of linear mixed models The REML algorithm allows you to analyse linear mixed models i.e. linear models that can contain both fixed and random...
REML directive Fits a variance-components model by residual (or restricted) maximum likelihood. Options PRINT = string tokens What output to present (model,...
RGB RGB(r; g; b) and RGB(t) calculate RGB colour values. If there are three arguments, r, g and b, these must...
RKESTIMATES directive Saves estimates and other information about individual terms in a regression analysis. Options FACTORIAL = scalar Limit on number of...
RLASSO procedure Performs lasso using iteratively reweighted least-squares (D.A. Murray & P.H.C. Eilers). Options PRINT = string token What output to print...
RQUADRATIC procedure Fits a quadratic surface and estimates its stationary point (R.W. Payne). Options PRINT = string tokens What to print (model,...
SET directive Sets details of the “environment” of a Genstat job. Options INPRINT = string tokens Printing of input as in PRINT...