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XLSTAT-PLS is an Excel add-in that has been developed to provide XLSTAT-Pro
users with a powerful solution for Partial Least Squares regression. All XLSTAT-PLS
functions have been intensively tested against other software to guarantee the
users fully reliable results.
Partial Least Squares Regression is a method that has been developed during
the 80s, and that is now used in more and more industries and research fields.
It frees oneself from some of the constraints of the classical linear regression
(Ordinary Least Squares regression - OLS): with PLS regression it is possible to
model one or more dependent variables by a very high number of explanatory
variables whatever the number of observations without risking to obtain an
overfitted model. This module also makes available PCR (Principal Components
Regression) and OLS regression.
PLS Regression
- PLS1 and PLS2 regression
- Explanatory variables can be quantitative and/or qualitative
- Computes and displays components
- Correlation charts and biplots
- Equations of the models
- Standardized coefficients and confidence intervals
- Predictions and residuals
- Predictions and residuals on validation set
- Predictions on prediction set
PCR Regression
- Explanatory variables can be quantitative and/or qualitative
- PCA with options adapted for the regression
- Correlation and observations charts and biplots
- Goodness of fit statistics, analysis of variance
- Model coefficients with the components
- Model coefficients with the input variables
- Standardized coefficients and confidence intervals
- Display of the equation
- Predictions and residuals
- Predictions and residuals on validation set
- Predictions on prediction set
OLS Regression
- Explanatory variables can be quantitative and/or qualitative
- Four methods for selecting variables with several possible criteria
- Analysis of variance, Type I SS, Type III SS
- Model coefficients
- Standardized coefficients and confidence intervals
- Display of the equation
- Predictions and residuals
- Predictions and residuals on validation set
- Predictions on prediction set
Minimum system configuration:
- Windows version: 95/98/Me/NT/2000/XP.
- Excel version: Excel 97 (SR-2), Excel 2000 (SR-1), Excel 2002 or Excel
2003.
- Processor: 200 MHz or more.
- Free disk space: 20 Mb.
- RAM: 128 Mb.
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