d.spls.split

The function <code>d.spls.split</code> divides the data <code>X</code> into a calibration and a validation set using
the Kennard and Stone strategy for each group at a time and according to the number of calibration desired
from each group.

internal

Provides a series of functions for fitting a dual sparse partial least squares (Dual-SPLS) regression. These functions differ by the choice of the underlying norm.

Louna Alsouki

dual.spls

Dual Sparse Partial Least Squares Regression

François Wahl

Ghislain Durif

d.spls.split function

<dl><dt>X</dt>
<dd>a numeric matrix.</dd>
<dt>Xtype</dt>
<dd>a vector of index specifying to which group belongs each observation.</dd>
<dt>Listecal</dt>
<dd>a vector specifying how many observations from each group should be selected as calibration.</dd></dl>

Arguments

Author

Splits data into calibration and validation sets according to wich group belongs each observation — d.spls.split

<dl>

<dt>X</dt>
<dd>a numeric matrix.</dd>


<dt>Xtype</dt>
<dd>a vector of index specifying to which group belongs each observation.</dd>


<dt>Listecal</dt>
<dd>a vector specifying how many observations from each group should be selected as calibration.</dd>

</dl>

d.spls.split: Splits data into calibration and validation sets according to wich group belongs each observation

Description

Usage

Value

Arguments

Author

See Also