**12.5****
****PLS Algorithms** (.NET, C#, CSharp, VB, Visual Basic, F#)

**NMath Stats**
provides classes **PLS1NipalsAlgorithm**
and **PLS2NipalsAlgorithm** which implement
the Nonlinear Iterative PArtial Least
Squares (NIPALS) algorithm for **PLS1** and **PLS2**
respectively, and class **PLS2SimplsAlgorithm**
which implements the Straightforward IMplementation
of PLS (SIMPLS) algorithm for **PLS2**.

The algorithm to use may be specified in the constructor
for a **PLS1** or **PLS2**
object, or set through the Calculator property:

Code Example – C# partial least squares (PLS)

var calculator = new PLS2SimplsAlgorithm(); pls.Calculator = calculator;

**NOTE—****Note
that setting the calculator through the property forces a recalculation
if data is present. **

The SIMPLS algorithm for **PLS2**
uses the Iterative Power Method for computing dominant eigenvectors.
This algorithm produces a candidate eigenvector during each iteration
which is normalized with respect to the l-infinity norm. When the two-norm
of the difference between the current eigenvector, *ei*,
and the eigenvector computed on the previous iteration, *ei-1*,
is less than a specified tolerance, the algorithm stops. The maximum
number of iteration to perform as well as the tolerance may be specified
on the algorithm object.

If your **PLS2**
with SIMPLS calculation fails because the power method failed to converge,
you may want to adjust these values.(If the calculation failure is due
to non-convergence of the power method, this will be indicated in the
Message property of the **PLS2**
object.