predgprdp

the final (scaled?) matrix of predictors used to create the regression model in the <code>gprdp</code> function

the alpha matrix corresponding to the regression model in the <code>gprdp</code> function

alpha

a <code>matrix</code> containing the predictor variables

newdata

a logical indicating whether the matrix of predictors used to create the regression model 
(in the <code>gprdp</code> function) was scaled

scale

if <code>center = TRUE</code> a <code>matrix</code> of one row with the values that must be used for centering <code>newdata</code>.

Xcenter

if <code>scale = TRUE</code> a <code>matrix</code> of one row with the values that must be used for scaling <code>newdata</code>.

Xscale

if <code>center = TRUE</code> a <code>matrix</code> of one row with the values that must be used for accounting for the centering of the response variable.

Ycenter

if <code>scale = TRUE</code> a <code>matrix</code> of one row with the values that must be used  for accounting for the scaling of the response variable.

Yscale


Predicts response values based on a model generated by the <code>gprdp</code> function (Gaussian process regression with dot product covariance). For internal use only!.


internal

Implementation of functions for spectral similarity/dissimilarity
analysis and memory-based learning (MBL) for non-linear modeling
in complex spectral datasets. In chemometrics MBL is also known as local modeling.

predgprdp: Prediction function for the `gprdp` function (Gaussian process regression with dot product covariance)

Description

Usage

Arguments

Value