In statistics, response surface methodology (RSM) explores the relationships between several explanatory variables and one or more response variables. RSM is an empirical model which employs the use of mathematical and statistical techniques to relate input variables, otherwise known as factors, to the response.

While designed with rsm objects in mind, these methods work with any lm object and thus provide a quick way to graph a fitted surface. Enhancements include coloring, adding contour lines to perspective plots, and hooks that provide additional annotations.

响应曲面设计是用来研究因子 (影响因素X)与过程输出 (响应变量Y)之间是否存在二次项关系，进而找出因子最优配置的一种试验方法。 1 应用 寻找产生“ 最佳”响应的因子设置； 寻找满足操作或过程规范的因子设置； …

Here the objective of Response Surface Methods (RSM) is optimization, finding the best set of factor levels to achieve some goal. This lesson aims to cover the following goals: The text has a graphic depicting a response surface method in three dimensions, though actually it is four dimensional space that is being represented since the three ...

The rsm function is a special extension of lm that facilitates fitting and evaluating first- and second-order models. Special functions FO(), SO(), PQ(), and TWI() are used to generate first-order, second-order, pure quadratic, and two-way-interaction predictors for a model.

The rsm package for R (R Development Core Team 2009) provides several functions to facilitate classical response-surface methods, as described in texts such as Box and Draper (1987), Khuri and Cornell (1996, Chapters 1U5), Wu and Hamada (2000, Chapter 9), Myers, Montgomery, and Anderson-Cook (2009), Box, Hunter, and Hunter (2005, Chapters 11U12 ...

2024年6月10日 · rsm: Response-Surface Analysis Provides functions to generate response-surface designs, fit first- and second-order response-surface models, make surface plots, obtain the path of steepest ascent, and do canonical analysis.

2023年1月18日 · It provides functionality for the analysis for experimental data, estimation of response surface, testing the model’s lack of fit, data visualization of contour plots of the fitted surface, and more; rsm covers standard first order (linear) and second order (quadratic) designs for one response variable; Functions provided by package:

Provides functions to generate response-surface designs, fit first- and second-order response-surface models, make surface plots, obtain the path of steepest ascent, and do canonical analysis.

Provides functions to generate response-surface designs, fit first- and second-order response-surface models, make surface plots, obtain the path of steepest ascent, and do canonical analysis.