predict.KFPLS

Prediction of the scalar response by KFPLS.

Implementation for kernel functional partial least squares (KFPLS) method. KFPLS method is developed for functional nonlinear models, and the method does not require strict constraints for the nonlinear structures. The crucial function of this package is KFPLS().

Rou Zhong

KFPLS

Kernel Functional Partial Least Squares

Jingxiao Zhang

predict.KFPLS function

<dl><dt>object</dt>
<dd>A KFPLS object obtained from <code>KFPLS</code>.</dd>
<dt>newdata</dt>
<dd>An <code>array</code> with three indices denoting the new observations of the functional predictors. The (i, j, k)-th element of it corresponds to the measurment of the i-th subject for the k-th functional predictor at j-th observation grid.</dd>
<dt>...</dt>
<dd>Not used.</dd></dl>

Arguments

Prediction by KFPLS — predict.KFPLS

<dl>

<dt>object</dt>
<dd>A KFPLS object obtained from <code>KFPLS</code>.</dd>


<dt>newdata</dt>
<dd>An <code>array</code> with three indices denoting the new observations of the functional predictors. The (i, j, k)-th element of it corresponds to the measurment of the i-th subject for the k-th functional predictor at j-th observation grid.</dd>


<dt>...</dt>
<dd>Not used.</dd>

</dl>

predict.KFPLS: Prediction by KFPLS

Description

Usage

Value

Arguments