A Crash Course in Calibration Model Development
December 5, 2022 - December 6, 2022
Calibration models, based on spectroscopic or other instrument or sensor data, are used to turn non-specific measurements (e.g. absorbances) into specific chemical information (e.g. concentrations). These models, developed primarily with the use of regression methods such as Partial Least Squares (PLS), are ubiquitous in the chemical process environment. A good calibration model, however, starts with good data, which in turn requires forethought and planning. Once developed, there are several ways to deploy models for online application. Finally, model maintenance will often be required in order to assure continued performance.
Join us on Monday and Tuesday, December 5-6 for a special webinar “A Crash Course in Calibration Model Development.” Eigenvector President Barry M. Wise will present with assistance from the Eigenvector staff. The webinar will include live demonstrations showing how to use PLS_Toolbox/Solo for data review and model development. We’ll cover:
- Introduction: Chemometrics and Machine Learning
- Developing a calibration data set
- Importing data into PLS_Toolbox/Solo
- Data review and screening: plotting and Principal Components Analysis (PCA)
- Building a Partial Least Squares (PLS) regression model
- Saving and exporting models
- Getting models online with Solo_Predictor or Model_Exporter
- Model Maintenance
Register for “A Crash Course in Calibration Model Development” through your existing Eigenvector account, or create one. The webinar is free, but you must register to attend. Find the webinar near the bottom of the page under the “Purchase” tab.
Reserve your seat today. The webinar will be live on Monday and Tuesday, December 5-6, from 7:00-8:30am PST, (that’s 16:00-17:30 CEST). We will send you a WebEx invitation the day before the webinar. We hope you can attend live, but if you sign up and can’t make it, we’ll send you a link to view the recording after the webinar.