Illustrative Examples of Principal Component Analysis using BMDP/4M.

Abstract

In order to provide a deeper understanding of the workings of principal components, four data sets were constructed by taking linear combinations of values of two uncorrelated variables to form the X-variates for the principal component analysis. The examples highlight some of the properties and limitations of the principal component analysis. This is part of a continuing project that produces annotated computer output for principal component analysis. The complete project will involve processing four examples on SAS/PRINCOMP, BMDP/4M, SPSS-X/FACTOR, GENSTAT/PCP, and SYSTAT/FACTOR. We show here the results from BMDP/4M, Version 85.

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Document Details

Document Type
Technical Report
Publication Date
May 25, 1987
Accession Number
ADA185179

Entities

People

  • C. E. Mcculloch
  • N. J. Miles-mcdermott
  • W. T. Federer

Organizations

  • Cornell University

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DTIC Thesaurus Topics

  • Availability
  • Coefficients
  • Computers
  • Correlation Analysis
  • Covariance
  • Data Science
  • Data Sets
  • Eigenvalues
  • Factor Analysis
  • Information Processing
  • Information Science
  • Language
  • Military Research
  • New York
  • Security
  • Shell Scripts
  • Statistical Analysis

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