forecasting: Function to predict a forecasting for a family of Taguchi (T)...

In okayaa/MT: Methods in Mahalanobis-Taguchi (MT) System

Description

forecasting is a generic function. For details, see forecasting.T1, forecasting.Ta, forecasting.Tb or general_forecasting.T.

Usage

forecasting(model, newdata, includes_transformed_newdata)

Arguments

model	Object generated as a model.
newdata	Matrix with n rows (samples) and p columns (variables). The Data to be estimated. All data should be continuous values and should not have missing values.
includes_transformed_newdata	If TRUE, then the transformed data for newdata are included in a return object.

Value

A list containing the following components is returned.

M_hat	Vector with length n. The estimated values of the dependent variable after the data trasformation.
y_hat	Vector with length n. The estimated values after the inverse transformation from M_hat.
model	Object passed by model.
n	The number of samples for newdata.
q	The number of variables after the data transformation.
X	If includes_transformed_newdata is TRUE, then the transformed data for newdata are included.

See Also

forecasting.T1, forecasting.Ta, and forecasting.Tb

okayaa/MT documentation built on March 15, 2021, 8:41 a.m.