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Chemometrics I: Principal Components Analysis

September 22, 2020 - September 24, 2020

Eigenvector Research, Inc. is pleased to bring you Chemometrics I: Principal Components Analysis (PCA), an online instructor-led live short course. Complete information about the course can be found by following the links below.

Course Description

Chemometrics I — PCA concentrates on what is perhaps the most important chemometric method, Principal Components Analysis. PCA is important on its own for exploratory data analysis, pattern recognition and data prescreening. It is also part of many other modern Machine Learning methods (e.g. SVMs and ANNs) where it is used for preprocessing and data compression. A good understanding of PCA also provides a good basis for understanding many of the factor based chemometric methods (PCR, PLS, MCR, etc.). This course covers the basics of PCA in depth, concentrating on interpretation of PCA models. The course includes hands-on computer time for participants to work example problems using PLS_Toolbox and Solo.


Linear Algebra for Chemometricians or equivalent experience. MATLAB for Chemometricians may also be helpful.

Course Outline

  1. Nomenclature and conventions
  2. Data transformation-Linearization
  3. Data centering and scaling
  4. The PCA decomposition
  5. Interpreting scores and loadings plots
  6. Q and T2 statistics
  7. Outliers
  8. Determination of number of factors to keep
  9. Example datasets: Wine, Octene, Arch, and Olive Oil

Course Fee

Prices include instruction, course materials (provided in advance in .pdf format), a certificate of completion and access to the recorded course sessions. Prices shown are shown below. Payment must be received by 5pm PDT, Monday, September 21, 2020.

Chemometrics I: Principal Components Analysis

Note: Payment must be received by 5pm PDT, Monday, September 21, 2020. Credit card orders are strongly encouraged. Acceptable forms of payment include MasterCard, VISA, American Express, and checks drawn on a US bank. Wire transfers can also be arranged.

Academic discount: University students and faculty are eligible for the academic rate. Verification of University affiliation is required by providing valid university mailing and e-mail address. Note that we define academic as “degree granting institution.”

How to Register, Deadlines and Cancellations

To register, login to your Eigenvector account, or create an account, then select the class you would like to attend under the “Purchase” tab. You can pay directly with your MasterCard, VISA or American Express using our secure credit card processing. You may ask to be invoiced, however, Payments must be received by 5pm PDT, Monday 21, September, 2020.

Complete refunds will be made for cancellations prior to Friday, September 18, 2020. No refunds will be made for cancellations after that date, however, substitutions are gladly accepted.


Chemometrics I: PCA will be taught in two sessions of 3.5 hours each on Tuesday, September 22 and Thursday, September 24. The schedule each day will be as follows.

Daily Schedule, Pacific Daylight Time (PDT)
06:45 – 07:00 WebEx available for login *
07:00 – 08:00 Instruction
08:00 – 08:10 Coffee Break
08:10 – 09:10 Instruction
09:10 – 09:20 Coffee Break
09:20 – 10:20 Instruction
10:20 – 10:30 Wrap-up and questions

* 7:00 am PDT is 10:00am in New York, 15:00 in London and 16:00 in Paris.

Can’t make it at this time? The sessions will be recorded and made available to course participants for their use for one year after the event.