Manual

 Table of Contents
NIRS Vision Tutorial – Operation  III
Table of Contents
Table of Contents III
1 Introduction 1
1.1 Prerequisites for this Tutorial........................................................... 1
1.2 Symbols and conventions ................................................................ 1
1.3 Field and parameters ....................................................................... 1
2 Getting Started 3
2.1 Starting Vision ................................................................................. 3
2.2 Setting-up a Project ......................................................................... 3
2.3 Define Project Options and System Options ..................................... 4
2.4 Setting up the Data Collection Method – DCM................................. 4
2.5 Instrument Setup Diagnostics .......................................................... 5
3 Acquiring Spectral Data 6
3.1 Accessing Tutorial Data ................................................................... 7
4 Qualitative Model Development 9
1.1 Creating a Library ............................................................................ 9
1.2 Sample Selection .............................................................................. 9
1.3 Developing an Identification method ............................................. 12
1.4 Qualifying a Product ...................................................................... 14
1.5 Library Validation – Testing the Library model .............................. 16
5 Quantitative Model Development 18
1.6 Multilinear Regressions .................................................................. 18
1.6.1 Sample Selection .......................................................................................... 18
1.6.2 Regression ................................................................................................... 21
1.7 Partial Least Squares Regression ................................................... 23
1.7.1 Sample Selection .......................................................................................... 23
1.7.2 Regression ................................................................................................... 25