In the development of paint formulations, such as the optimal pigment mixture to produce a colour impression, a classic approach is often performed. This means a previously defined number of experiments is planned and then carried out. The number of experiments depends on the varying factor n [1, 2] and, if applicable, which type of analysis is carried out afterwards. For example, when using a polynomial regression model, the number of experiments N with increasing order m of the model, and a systematic fully factorial design plan result in N=(m+1)n . Should a sensitivity analysis be performed after this, e.g. ...
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