modelObj (version 4.2)

predict: Model Predictions

Description

Predictions from the results of a fit object.

Usage

predict(object, ...)
# S4 method for modelObjFit
predict(object, newdata, ...)

Arguments

object

An object of class modelObjFit as returned by the fit() function.

newdata

An object of class data.frame containing the variables in the model.

...

ignored

Value

Model predictions, the form of which depend on the regression analysis.

Examples

# NOT RUN {
   # generate data
   X <- matrix(rnorm(1000,0,1),
               ncol=4,
               dimnames=list(NULL,c("X1","X2","X3","X4")))

   Y <- X %*% c(0.1, 0.2, 0.3, 0.4) + rnorm(250)

   X <- data.frame(X)

   # create modeling object using a formula
   mo <- buildModelObj(model=Y ~ X1 + X2 + X3 + X4,
                  solver.method='lm')

   # fit model
   fit.obj <- fit(object=mo, data=X, response=Y)

   predict(fit.obj)
   predict(fit.obj, newdata = X[1:10,])

# }