Application of Models to New Data

Application of Models to New Data

In most cases, the function used to create a model (e.g. PCA, PLS, etc) is also used to make a prediction with the created model. See the function used for more information on this. In addition, these utilities may be of use for certain applications.

modelselector - Create or apply a model selector model.

compressmodel - Remove references to unused variables from a model.

matchvars - Align variables of a dataset to allow prediction with a model.

modlpred - Predictions using standard model structures.

regcon - Converts regression model to y = ax + b form.

rinverse - Calculate pseudo inverse for PLS, PCR and RR models.

(Sub topic of Quantitative_Regression_Analysis)