methods-predict: Model Prediction.

In modelObj: A Model Object Framework for Regression Analysis

Description

Executes the prediction method for an object of class modelObjFit.

Usage

 ## S4 method for signature 'modelObjFit'
predict(object, newdata = NULL, ...) 

Arguments

object	an object of class modelObjFit containing the regression object which which predictions are to be obtained.
newdata	An optional data frame of variables with which to make predictions. If not provided, fitted values from the regression analysis are returned.
...	ignored

Value

A matrix of the predicted response for the fitted model.

Author(s)

Shannon T. Holloway <[e-mail]>

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)

    pred <- predict(object=fit.obj, newdata=X)

    head(pred)

modelObj documentation built on May 2, 2019, 5:20 p.m.