Returns a vector of predicted responses for the testData. If testData is ommitted, returns predictions for the training data. This function is most meaningful if model$intercept==TRUE.

predictY(model, testData = NULL)

model | A model created with splineTree() |
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testData | The data to return predictions for. If ommitted, uses the training data. |

A vector of predictions with rows corresponding to the testdata.

split_formula <- ~HISP + WHITE + BLACK + SEX + Num_sibs + HGC_FATHER + HGC_MOTHER tree <- splineTree(split_formula, BMI~AGE, idvar = "ID", data = nlsySample, degree = 1, df = 3, intercept = TRUE, cp = 0.005)