predict.dMax {desirability} | R Documentation |
Predicted values based on desirability objects
## S3 method for class 'dMax': predict(object, newdata = NA, ...) ## S3 method for class 'dMin': predict(object, newdata = NA, ...) ## S3 method for class 'dTarget': predict(object, newdata = NA, ...) ## S3 method for class 'dArb': predict(object, newdata = NA, ...) ## S3 method for class 'dBox': predict(object, newdata = NA, ...) ## S3 method for class 'dOverall': predict(object, newdata = matrix(NA, ncol = length(object$d)), all = FALSE, ...)
object |
a object of class: dMax , dMin ,
dTarget , dArb , dBox or dOverall |
newdata |
values of the response for predicting desirability |
all |
a logical (for predict.dOverall only); should the
individual desirabilities also be returned? |
... |
no currently used |
The responses are translated into desirability units.
a vector, unless predict.dOverall
is used with all=TRUE
,
in which case a matrix is returned.
Max Kuhn
Derringer, G. and Suich, R. (1980), Simultaneous Optimization of Several Response Variables. Journal of Quality Technology 12, 214–219.
d1 <- dMin(1,3) d2 <- dTarget(1, 2, 3) dBoth <- dOverall(d1, d2) outcomes <- cbind( seq(0, 4, length = 10), seq(0.5, 4.5, length = 10)) predict(d1, outcomes[,2]) predict(d2, outcomes[,2]) predict(dBoth, outcomes) predict(dBoth, outcomes, all = TRUE)