ESTIMATE <data>,<name of model>,L estimates the parameters of a linear or a nonlinear regression model. Parameter L is optional and gives the first line for the results in the edit field. The regression model has to be defined by a MODEL specification typed on any two consecutive lines in the edit field as follows: MODEL <name of model> <regressand>=<function of regressors and parameters> <data> may either be defined by the DATA specification in the edit field or it may be a Survo data file. The regressand and the regressors are notated by the names given as labels for the columns in the DATA specification of the data set. Unidentified words in the model are interpreted as parameters to be estimated. ESTIMATE is able to evaluate the expressions of first and second derivatives of the model function with respect to parameters. This information is employed in the model identification and in the numerical computation of estimates. The estimation process can be controlled by extra specifications typed in the edit field. Extra specifications and parameters in ESTIMATE: 1 = model specification (MODEL) 2 = estimation criterion (CRITERION) 3 = numerical (optimization) method (METHOD) 4 = initial values for parameters 5 = weight variable (WEIGHT) 6 = step length (STEP) 7 = residuals, predicted values 8 = selecting observations 9 = constants in the model function A = displaying intermediate resultsM = results in matrix filesD = more on data analysis

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