PLSRfit

Fits a Partial Least Squares Regression (PLSR) to two continuous data matrices

Several multivariate techniques from a biplot perspective. It is the translation (with many improvements) into R of the previous package developed in 'Matlab'. The package contains some of the main developments of my team during the last 30 years together with some more standard techniques. Package includes: Classical Biplots, HJ-Biplot, Canonical Biplots, MANOVA Biplots, Correspondence Analysis, Canonical Correspondence Analysis, Canonical STATIS-ACT, Logistic Biplots for binary and ordinal data, Multidimensional Unfolding, External Biplots for Principal Coordinates Analysis or Multidimensional Scaling, among many others. References can be found in the help of each procedure.

Jose Vicente-Villardon

MultBiplotR

Multivariate Analysis Using Biplots in R

PLSRfit function

<dl> <dt>Y</dt>
<dd>The matrix of dependent variables</dd> <dt>X</dt>
<dd>The Matrix of Independent Variables</dd> <dt>S</dt>
<dd>Dimension of the solution. The default is 2</dd> <dt>tolerance</dt>
<dd>Tolerance for the algorithm.</dd> <dt>maxiter</dt>
<dd>Maximum number of iterations for the algorithm.</dd> <dt>show</dt>
<dd>Logical. Should the calculation process be shown on the screen</dd></dl>

Arguments

Author

Partial Least Squares Regression (PLSR) — PLSRfit

<dl>

 <dt>Y</dt>
<dd>The matrix of dependent variables</dd>

 <dt>X</dt>
<dd>The Matrix of Independent Variables</dd>

 <dt>S</dt>
<dd>Dimension of the solution. The default is 2</dd>

 <dt>tolerance</dt>
<dd>Tolerance for the algorithm.</dd>

 <dt>maxiter</dt>
<dd>Maximum number of iterations for the algorithm.</dd>

 <dt>show</dt>
<dd>Logical. Should the calculation process be shown on the screen</dd>

</dl>

PLSRfit: Partial Least Squares Regression (PLSR)

Description

Usage

Value

Arguments

Author

Details

References