predict.lmcal, predict.nlscal: Inverse predict concentration from given responses
Inverse predict concentration from responses, using all fitted
"predict"(object, dataset, conf.int = 0.95, ...)
"predict"(object, dataset, ...)
an object of class 'lmcal' or 'nlscal', respectively
a vector of responses
confidence intercal (only for lmcal)
additional arguments, currently ignored
A list containing following elements. Each element is a list of concentration vectors,
calculated from a model, with name referring to the model.
- Concentrations calculated by fitted model
- Upper limit of confidence interval of inverse prediction
- Lower limit of confidence interval of inverse prediction
For linear models, the concentrations are calculated by
polyroot() on modified polynomial coefficients. For nonlinear models,
concentrations are calculated with appropriate 'inverse' formulas.