Wang_Chen

Twenty-five observations where 'H' represents brinell hardness and 'S' represents tensile strength.

An open-source implementation of latent variable methods and multivariate modeling tools. The focus is on exploratory analyses using dimensionality reduction methods including low dimensional embedding, classical multivariate statistical tools, and tools for enhanced interpretation of machine learning methods (i.e. intelligible models to provide important information for end-users).   Target domains include extension to dedicated applications e.g. for manufacturing process modeling, spectroscopic analyses, and data mining.

Nelson Afanador

mvdalab

Multivariate Data Analysis Laboratory

Wang_Chen function

A data frame with 25 observations and the following 2 variables.<dl>
 <dt><code>H</code></dt>
<dd>brinell hardness</dd> <dt><code>S</code></dt>
<dd>tensile strength</dd> 
</dl>

Format

Bivariate process data. — Wang_Chen

A data frame with 25 observations and the following 2 variables.<dl>
 <dt><code>H</code></dt>
<dd>brinell hardness</dd>

 <dt><code>S</code></dt>
<dd>tensile strength</dd>

 
</dl>

Wang_Chen: Bivariate process data.

Description

Usage

Arguments

Format