linearRegPredict
Compute Predictions for a Linear Model from Spotfire

### Description

Computes predictions for a linear model from Spotfire using the data in newdata. This function is not intended to be called by the user.

### Usage

    linearRegPredict(modelObj, newdata, origPredNames, newPredNames)

### Arguments

modelObj | an object of class "lm".
newdata | a data frame to use for the predictions. It must contain columns with names newPredNames.
origPredNames | a single character string containing the predictor variables used in modelObj. The values must be tab delimited.
newPredNames | a single character string naming the predictor variable in newdata. This is often the same as origPredNames. The values must be tab delimited.

### Details

This function gets invoked when predictions for a linear regression model are requested in Spotfire.
Value
a data frame containing the predictions.
See Also
linearRegFit, linearRegEvaluate, lm
Examples

    zlm <- linearRegFit(ozone ~ wind + temperature, data=Sdatasets::air,
        modelName="lmExample")
    predNamesString <- zlm$fitSummaryTable[2, 1]
    predNames <- strsplit(predNamesString, "\t", fixed=TRUE)[[1]]
    ap <- Sdatasets::air[1:20, predNames]
    zPred <- linearRegPredict(zlm$modelObj, newdata=ap,
        predNamesString, predNamesString)

Package SpotfireStats version 6.1.5-18
Package Index