JMP 14.0 Online Documentation (English)
Discovering JMP
Using JMP
Basic Analysis
Essential Graphing
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Design of Experiments Guide
Fitting Linear Models
Predictive and Specialized Modeling
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Scripting Guide
JSL Syntax Reference
JMP iPad Help
JMP Interactive HTML
Capabilities Index
JMP 13 Online Documentation
JMP 12 Online Documentation
Multivariate Methods
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Discriminant Analysis
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Technical Details for the Discriminant Analysis Platform
• Description of the Wide Linear Algorithm
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Description of the Wide Linear Algorithm
Wide Linear discriminant analysis is performed as follows:
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The data are standardized by subtracting group means and dividing by pooled standard deviations.
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The singular value decomposition is used to obtain a principal component transformation matrix from the set of singular vectors.
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The number of components retained represents a minimum of 0.9999 of the sum of the squared singular values.
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A linear discriminant analysis is performed on the transformed data, where the data are not shifted by group means. This is a fast calculation because the pooled-within covariance matrix is diagonal.
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Help created on 7/12/2018