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Nonlinear Profiles with R

Part of the Use R! book series (USE R)


In many situations, processes are often represented by a function that involves a response variable and a number of predictive variables. In this chapter, we show how to treat data whose relation between the predictive and response variables is nonlinear and, as a consequence, cannot be adequately represented by a linear model. This kind of data are known as nonlinear profiles. Our aim is to show how to build nonlinear control limits and a baseline prototype using a set of observed in-control profiles. Using R, we show how to afford situations in which nonlinear profiles arise and how to plot easy-to-use nonlinear control charts.


  • Nonlinear Profile
  • Control Charts
  • Baseline Prototype
  • Predictor Variables
  • Response Variables

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Cano, E.L., Moguerza, J.M., Corcoba, M.P. (2015). Nonlinear Profiles with R. In: Quality Control with R. Use R!. Springer, Cham.

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