Umetrics offers a number of plug-in and preprocessing tools to support our customer needs and meet their specific demands for data formats and data handling.

How to install a plug-in in SIMCA:

1. Download plug-in file below and save it on your computer
2. Unzip the file containing the dll plug-in
3. Save the plug-in under the plugin directory in SIMCA
    Find the directory under File | Options | SIMCA options | More Options tab
    Typically C:\Users\YOURNAME\AppData\Roaming\Umetrics\SIMCA\16.0\Plugins
    This directory can be changed, as needed.
4. Restart SIMCA

In SIMCA-P+ 12, the plugin directory is found by clicking View | General Options and Spectral Filters is available on the Dataset menu.

Data filtering

Averaging observation. Plug-in that allows a simple reduction of your dataset, based on averaging selected observations, see Q677.

Subtracting Background. Plug-in that allows a simple correction by subtracting a selected background observation (typically spectrum) from all other observations, see Q678.

Transmittance to Absorbance. Plugin that convert spectroscopic data collected in Transmittance units to Absorbance units, se Q741


Smiles. Plugin to visualize molecular structure in SIMCA using a SMILES converter from OpenEye Scientific Software, for further info and installation instructions see SMILES converter for SIMCA

Please contact your local Umetrics sales representative for licensing the SMILES plugin. Umetrics offers a solution for both customers with or without an existing license for OGHAM Software from OpenEye Scientific Software.


How to write your own plug-in?

To find instructions and examples in "How to Create a Plug-in for Spectral Filters", see Q15 in the Knowledge Base.

Resources for data preprocessing

Umetrics offers a number of stand-alone tools to preprocess certain application or instrument specific data formats. The following small programs are not part of the SIMCA software nor validated as such. It is a free service for Umetrics customers that struggle with specific data handling issues. The following tools help to prepare data for an appropriate multivariate data analysis:

SIMCA- CODEC for image analysis, see Q191 for further info and download.