Multivariate Analysis Of Spectroscopic Data
Our module Multivariate Analysis Of Spectroscopic Data, presents methods and applications for analysis of spectroscopy data, using The Unscrambler®.
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- The Unscrambler® Overview Visualizing
- Visualizing Data through Plots
- Modifying Variable and Sample Sets
- Data Pre-Processing
- PCA
- Regression Methods: PCR, PLS, MLR
- Outliers in PCA and PLS
- Inspection (Evaluation) of Data Quality
- Calibration Methods
- Calibration Development
- Validation and Interpretation
- Prediction and Routine Analysis
- SIMCA
- Data Handling (Importing / Exporting)
- Application of The Unscrambler® in NIR operations
Who should participate in this program?
The course is aimed at researchers and analysts who work with spectroscopic data, and are already familiar with multivariate methods. The course is for instance well suited for persons who have been to CAMO’s MVA1 course.
Prerequisites
Discounts: 10% to members of the Annual Support and Upgrade Program
- The number of seats for the course is limited to 12
- Deadline for registrations: 3 weeks before the course-start
- Participants are required to bring their own Laptop.
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