Instructor Led Component Regression Training Classes
 online course |
 instructor led class |
 learn at home |
 group study |
 self directed training |
 cd based training |
 DVD video training |
 printed book |
 e-book digital book |
 workshop seminar |
 train the trainer |
 computer based learning |
 discount pricing |
 online tutorial |
From Camo Process AS
Multivariate Data Analysis MVA and Design of Experiments DoE Level-1 Bangalore July 21-23 2008
... => 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 analysis
Design of Experiments
more...
... => 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 analysis
Design of Experiments
more...
Multivariate Data Analysis - Level 1, Helsinki, Finland - May 15-16, 2008
...te 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 analysis
Check the following link where
more...
...te 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 analysis
Check the following link where
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...
