Partial Least Squares Path Modelling with Latent Variables.

Abstract

A partial least squares treatment of multivariate data related through a complex model allows one to evaluate the interactions between large numbers of features at once. Results where the model is of water sources flowing together, each block composed of water quality data, allow the influence of the various sources to be evaluated with respect to their importance on the resulting flow downstream.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1979
Accession Number
ADA074805

Entities

People

  • Bruce R. Kowalski
  • Herman O. A. Wold
  • Robert W. Gerlach

Organizations

  • University of Washington

Tags

DTIC Thesaurus Topics

  • Chemistry
  • Correlation Analysis
  • Data Analysis
  • Data Mining
  • Data Science
  • Data Sets
  • Environment
  • Factor Analysis
  • Information Science
  • Materials
  • Materials Science
  • Military Research
  • New York
  • Pattern Recognition
  • Regression Analysis
  • United States
  • Water Quality

Readers

  • Acoustical Oceanography.
  • Environmental Engineering
  • Statistical inference.