This dialog is used to specify a response surface model to be fit by the rsm function.
Menu.rsm(response = NULL, factor.names = NULL)response to apply the response surface model to
character vector of factor names to apply the response surface model to
Ulrike Groemping, adapted to this situation from menu by John Fox
The LHS model-formula box specifies the response variable to be used in the model; it
may be a variable name or an expression evaluating to the response variable, such as
log(income).
The RHS model-formula box specifies the right-hand (i.e., predictor) side of the model.
If you are interested in the details, see rsm. The formula
consists of first order (FO), quadratic (PQ) and interaction (TWI) terms. Individual
variables can be omitted from the formula or re-entered by editing the dialog. It is
also possible but usually not necessary to enter extra variables.
An existing blocking variable is per default included.
If the analysis is coded, the variables must be given as x1, x2, and so forth, otherwise by
their original names.
For redoing from within this dialog, manually empty the RHS model-formula box; when clicking the FO, TWI, PQ and SO
while some factors are selected in the variables box, the respective terms are entered to the model.
rsm, rsmformula, code.design