Instrument, Leverages, Loadings or principal components – BUCHI NIRCal User Manual

Page 183: 42 instrument, 43 leverages, 44 loadings or principal components

Advertising
background image

Chemometrics

NIRCal 5.5 Manual, Version A

183

3.18.42

Instrument

Description

Contains the used instrument index.

Use

For 1D-scatter and dependency plots. Can be used for Outlier selection.

Method

PCR / PLS / Cluster (CLU) / SIMCA / MLR

Matrices ID

104

Tip

Details

Instrument index is a column vector.

Related Topic


Description

Contains the used instrument index.

Use

For 1D-scatter and dependency plots. Can be used for Outlier selection.

Method

PCR / PLS / Cluster (CLU) / SIMCA / MLR

Matrices ID

105

Tip

Details

Instrument index is a row vector.

Related Topic

3.18.43

Leverages

Description

Mahalanobis distance from the center of the score space to each spectra.

Use

To find Leverage Outliers.

Method

PCR / PLS / Cluster (CLU) / SIMCA

Matrices ID

32

Tip

Details

All primary PCs are used. The secondary PC selection has no effect on the
leverages.

Related Topic

Scores


Description

Contains the Leverages against the PCs for the different properties (Cluster).

Use

For PC selection.

Method

PCR / PLS / Cluster (CLU) / SIMCA

Matrices ID

94

Tip

Details

Related Topic

Leverages

3.18.44

Loadings or Principal Components

Description

Loadings build up the base for reconstructing the spectra together with the
scores and the

Eigenvalues

.

Use

Look for the wavelengths activity in the loadings and compare it with the
original spectra.

Method

PCR / PLS / Cluster (CLU) / SIMCA

Matrices ID

4

Tip

Mark interesting bands in the wavelengths and have a look to the spectra.
The wavelengths selection will also appear in the plot.

Details

Loadings are called also Principal Components or sometimes till called
"factors" (NIRCal 4 terminology). The maximum available number of PCs
calculated is called the primary PCs.
The selected PCs for predicting properties are called secondary PCs.

Related Topic

Scores

,

Eigenvalues


The loadings are artificial difference spectra. Only principal components with characteristic spectral
information should be used.

Advertising