Instructor Led Multi Linear Training Classes
 online course |
 instructor led class |
 learn at home |
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From Camo Process AS
Multivariate Data Analysis MVA and Design of Experiments DoE Level-1 Bangalore July 21-23 2008
...ent Analysis (PCA)
* Multivariate regression:
=> MLR- Multi Linear Regression
=> PCR- Principal Component Regression
=> PLS- Partial Least Squares
* Relevant data collection
* Multivariate modelling step by step
* Pretreatment and scaling
* Detecting and dealing with outliers
* Calibration, validation
* Prediction
* The different validation methods
* Basic rules for successful data
more...
...ent Analysis (PCA)
* Multivariate regression:
=> MLR- Multi Linear Regression
=> PCR- Principal Component Regression
=> PLS- Partial Least Squares
* Relevant data collection
* Multivariate modelling step by step
* Pretreatment and scaling
* Detecting and dealing with outliers
* Calibration, validation
* Prediction
* The different validation methods
* Basic rules for successful data
more...
Multivariate Data Analysis - Level 1, Helsinki, Finland - May 15-16, 2008
...cipal Component Analysis (PCA)
Multivariate regression: Multi Linear Regression (MLR), Principal Component Regression (PCR), Partial
Least Squares (PLS)
Relevant data collection
Multivariate modeling step by step
Pretreatment and scaling
Detecting and dealing with outliers
Calibration, validation
Prediction
The different validation methods
Basic rules for successful data
more...
...cipal Component Analysis (PCA)
Multivariate regression: Multi Linear Regression (MLR), Principal Component Regression (PCR), Partial
Least Squares (PLS)
Relevant data collection
Multivariate modeling step by step
Pretreatment and scaling
Detecting and dealing with outliers
Calibration, validation
Prediction
The different validation methods
Basic rules for successful data
more...
From Camo Inc.
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 production processes.
Course Topics
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 production processes.
Course Topics
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 step
Pretreatment and scaling
Detecting and dealing with
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 step
Pretreatment and scaling
Detecting and dealing with
more...
