predict: Model Predictions

In modelObj: A Model Object Framework for Regression Analysis

Model Predictions

Description

Predictions from the results of a fit object.

Usage

predict(object, ...)

## S4 method for signature '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

   # 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,])

modelObj documentation built on June 7, 2022, 9:07 a.m.