quad_3D

BoxDraper;textualOptimaRegion's three factor experimental dataset

datasets

Computes confidence regions on the location of response surface optima. Response surface models can be up to cubic polynomial models in up to 5 controllable factors, or Thin Plate Spline models in 2 controllable factors.

Enrique Castillo

OptimaRegion

Confidence Regions for Optima of Response Surfaces

quad_3D function

A data frame with 16 observations on the following 4 variables<dl>
 <dt>x1</dt>
<dd>percentage concentration of the 1st constituent, in coded unit</dd> <dt>x2</dt>
<dd>percentage concentration of the 2nd constituent, in coded unit</dd> <dt>x3</dt>
<dd>temperature, in coded unit</dd> <dt>y</dt>
<dd>elasticity of certain polymer</dd>
</dl>

Format

Central composite design experiment dataset (3 factors) — quad_3D

A data frame with 16 observations on the following 4 variables<dl>
 <dt>x1</dt>
<dd>percentage concentration of the 1st constituent, in coded unit</dd>

 <dt>x2</dt>
<dd>percentage concentration of the 2nd constituent, in coded unit</dd>

 <dt>x3</dt>
<dd>temperature, in coded unit</dd>

 <dt>y</dt>
<dd>elasticity of certain polymer</dd>


</dl>

quad_3D: Central composite design experiment dataset (3 factors)

Description

Usage

Arguments

Format

References