R (>= 2.15.1), splancs, Hmisc, shapefiles

This package consists of two main functions: The first
function is corAspect() performs (optimal) scaling by
maximizing an aspect (i.e. target function such as sum
eigenvalues, sum of squared correlations, squared multiple
correlations, etc.) of the corresponding correlation matrix.
The second function is lineals() which performs scaling by
mimimization a non-correlational aspect based on pairwise
correlations and correlation ratios. The resulting correlation
matrix and category scores can be used for further multivariate
methods such as SEM. A platform including related PsychoR
packages is provided on R-forge.

This package consists of two main functions: The first
function is corAspect() performs optimal scaling by maximizing
an aspect (i.e. target function such as sum eigenvalues, sum of
squared correlations, squared multiple correlations, etc.) of
the corresponding correlation matrix. The second function is
lineals() which performs optimal scaling by mimimization a
non-correlational aspect based on pairwise correlations and
correlation ratios. The resulting correlation matrix and
category scores can be used for further multivariate methods
such as SEM. A platform including related PsychoR packages is
provided on R-forge.

This package consists of two main functions. The first
function is corAspect() performs optimal scaling by maximizing
an aspect (i.e. target function such as sum eigenvalues, sum of
squared correlations, squared multiple correlations, etc.) of
the corresponding correlation matrix. The second function is
lineals() which performs optimal scaling by mimimization a
non-correlational aspect based on pairwise correlations and
correlation ratios. The resulting correlation matrix and
category scores can be used for further multivariate methods
such as SEM. A platform including related PsychoR packages is
provided on R-Forge.

This package consists of two main functions: The first function is corAspect() performs optimal scaling by maximizing an aspect (i.e. a target function such as the sum of eigenvalues, sum of squared correlations, squared multiple correlations, etc.) of the corresponding correlation matrix. The second function is lineals() performs optimal scaling by minimization a non-correlational aspect based on pairwise correlations and correlation ratios. The resulting correlation matrix and category scores can be used for further multivariate methods such as SEM. A platform including related PsychoR packages is provided on R-Forge.