Camo Inc.
CAMO is a pioneer in the field of Multivariate data analysis software products and solutions that offers the most definitive analytical modeling, prediction and optimization. Our flagship simulation and prediction software products are, The Unscrambler and Product Optimizer. CAMO supports manufacturing process analysis in Chemicals, Pharmaceutical, Food Processing, Pulp & Paper, Consumer Products and Agriculture Industry etc.
We provide professional training in DoE (Design of Experiment), multivariate data analysis, spectroscopy, sensometrics and chemometrics across United States & Canada, Europe, South America, Africa, Australia and Asia through our panel of Chemometric Experts, Spectroscopy Professionals, Sensometrics Instructors and Multivariate Data Analysis Trainers.
Camo Inc. is based in Woodbridge, NJ, USA
 online course |
 instructor-led class |
 learn at home |
 group study |
 self-directed study |
 cd-based training |
 DVD video training |
 printed book |
 e-book digital book |
 workshop seminar |
 train the trainer |
 computer-based learning |
 discount pricing |
 online tutorial |
Monimuuttujamenetelm t 1 (Multivariate Data Analysis - Finnish Course)
: The course hax been designed for individuals:
* Involved in consumer insights, R&D, product development, process optimization, quality control & monitoring.
* Working with spectroscopic instruments (NIR, FTIR, UV, UV/VIS, NMR, DAS, Raman, Mass Spectroscopy) chromatography instruments (LC, CE, GC, HPLC), production data & sensory data, R&D, quality control or more...
: The course hax been designed for individuals:
* Involved in consumer insights, R&D, product development, process optimization, quality control & monitoring.
* Working with spectroscopic instruments (NIR, FTIR, UV, UV/VIS, NMR, DAS, Raman, Mass Spectroscopy) chromatography instruments (LC, CE, GC, HPLC), production data & sensory data, R&D, quality control or more...Multivariate Data Analysis
: Introduction to multivariate data modeling
When are multivariate methods useful?
Principles and applications of:
Principal Component Analysis (PCA)
Multivariate regression: Multi Linear Regression (MLR), Principal Component Regression (PCR), Partial Least Squares (PLS)
Relevant data collection
Multivariate modeling step by more...
: Introduction to multivariate data modeling
When are multivariate methods useful?
Principles and applications of:
Principal Component Analysis (PCA)
Multivariate regression: Multi Linear Regression (MLR), Principal Component Regression (PCR), Partial Least Squares (PLS)
Relevant data collection
Multivariate modeling step by more...| Head Office |
