forecasting

model

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.

newdata

If <code>TRUE</code>, then the transformed data
for <code>newdata</code> are included in a
return object.

includes_transformed_newdata

<code>forecasting</code> is a generic function. For details, see
 <code><a rd-options="" href="/link/forecasting.T1?package=MTSYS&version=1.2.0" data-mini-rdoc="MTSYS::forecasting.T1">forecasting.T1</a></code>, <code><a rd-options="" href="/link/forecasting.Ta?package=MTSYS&version=1.2.0" data-mini-rdoc="MTSYS::forecasting.Ta">forecasting.Ta</a></code>,
 <code><a rd-options="" href="/link/forecasting.Tb?package=MTSYS&version=1.2.0" data-mini-rdoc="MTSYS::forecasting.Tb">forecasting.Tb</a></code> or <code><a rd-options="" href="/link/general_forecasting.T?package=MTSYS&version=1.2.0" data-mini-rdoc="MTSYS::general_forecasting.T">general_forecasting.T</a></code>.

Mahalanobis-Taguchi (MT) system is a collection of multivariate
analysis methods developed for the field of quality engineering. MT system
consists of two families depending on their purpose. One is a family of
Mahalanobis-Taguchi (MT) methods (in the broad sense) for diagnosis (see
Woodall, W. H., Koudelik, R., Tsui, K. L., Kim, S. B., Stoumbos, Z. G., and
Carvounis, C. P. (2003) <doi:10.1198/004017002188618626>) and the other is a
family of Taguchi (T) methods for forecasting (see Kawada, H., and Nagata, Y.
(2015) <doi:10.17929/tqs.1.12>). The MT package contains three basic methods
for the family of MT methods and one basic method for the family of T
methods. The MT method (in the narrow sense), the Mahalanobis-Taguchi
Adjoint (MTA) methods, and the Recognition-Taguchi (RT) method are for the
MT method and the two-sided Taguchi (T1) method is for the family of T
methods. In addition, the Ta and Tb methods, which are the improved versions
of the T1 method, are included.

Akifumi Okayama

MTSYS

Methods in Mahalanobis-Taguchi (MT) System

Masato Ohkubo

Yasushi Nagata

forecasting function

<code>forecasting</code> is a generic function. For details, see
 <code><a rd-options='' href='forecasting.T1'>forecasting.T1</a></code>, <code><a rd-options='' href='forecasting.Ta'>forecasting.Ta</a></code>,
 <code><a rd-options='' href='forecasting.Tb'>forecasting.Tb</a></code> or <code><a rd-options='' href='general_forecasting.T'>general_forecasting.T</a></code>.

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

Description

Usage

Arguments

Value

See Also