neumann

Willard Gibbs discovered a theoretical formula connecting the density, the
pressure, and the absolute temperature of a mixture of gases with convertible 
components. He applied this formula and the estimated constants to 65 experiments
of Neumann, and he discusses the systematic and accidental divergences (residuals).

datasets

This package performs a homogeneity analysis and various
        extensions. Rank restrictions on the category quantifications
        can be imposed (nonlinear PCA). The categories are transformed
        by means of optimal scaling with options for nominal, ordinal,
        and numerical scale levels (for rank-1 restrictions). Variables
        can be grouped into sets, in order to emulate regression
        analysis and canonical correlation analysis.

Jan Leeuw

homals

Gifi Methods for Optimal Scaling

neumann function

A data frame with temperature, pressure, and density on 65 experiments.

neumann: Neumann dataset

Description

Usage

Arguments

format

References

Examples