predict.mvPCA

Prediction method for class mvPCA.

methods

Multivariate tests, estimates and methods based on the identity score, spatial sign score and spatial rank score are provided. The methods include one and c-sample problems, shape estimation and testing, linear regression and principal components. The methodology is described in Oja (2010) <doi:10.1007/978-1-4419-0468-3> and Nordhausen and Oja (2011) <doi:10.18637/jss.v043.i05>.

Klaus Nordhausen

Multivariate Nonparametric Methods. An Approach Based on Spatial
Signs and Ranks

Jyrki Mottonen

Hannu Oja

predict.mvPCA function

<dl> <dt>object</dt>
<dd>an object of class <code>mvloc</code>.</dd> <dt>newdata</dt>
<dd>New data with the same variables. If missing just the scores of object are returned.</dd> <dt>...</dt>
<dd>needed for other methods.</dd></dl>

Arguments

Author

Prediction Method for a Principal Component Object of Type mvPCA — predict.mvPCA

<dl>

 <dt>object</dt>
<dd>an object of class <code>mvloc</code>.</dd>

 <dt>newdata</dt>
<dd>New data with the same variables. If missing just the scores of object are returned.</dd>

 <dt>...</dt>
<dd>needed for other methods.</dd>

</dl>

predict.mvPCA: Prediction Method for a Principal Component Object of Type mvPCA

Description

Usage

Value

Arguments

Author