"Resistant Line" is an important EDA way of fitting a regression model. The function here develops the discussion in Section 4.5.1 Resistant Line. An alternative for this function is available in "rline" function of the "LearnEDA" package.
● Data Source:
CranContrib
● Keywords: EDA, Resistant Line
● Alias: resistant_line
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A merchandiser stocks soft-drink on a shelf as a multiple number of the number of cases. The time required to put the cases in the shelves is recorded as a response. Clearly, if there are no cases to be stocked, it is natural that the time to put them on the shelf will be 0.
● Data Source:
CranContrib
● Keywords: linear regression model
● Alias: shelf_stock
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We need to determine the effect of the number of revolutions per minute (rpm) of the rotary pump head of an Olson heart-lung pump on the fluid flow rate Liters_minute. The rpm's are replicated at 50, 75, 100, 125, and 150 levels with respective frequencies 5, 3, 5, 2, and 5. The fluid flow rate is measured in litters per minute.
The strength of a paper depends on three variables: (i) the percentage of hardwood concentration in the raw pulp, (ii) the vat pressure, and (iii) the cooking time of the pulp. The hardwood concentration is tested at three levels of 2, 4, and 8 percentage, the vat pressure at 400, 500, and 650, while the cooking time is at 3 and 4 hours. For each combination of the these three factor variables, 2 observations are available, and thus a total of 3.3.2.2 = 36 observations. The goal of the study is investigation of the impact of the three factor variables on the strength of the paper, and the presence of interaction effect, if any.
Five different formulations of a rocket propellant x1 may be used in an aircrew escape systems on the observed burning rate Y. Here, each of the formulation is prepared by mixing from a batch of raw materials x2 which can support only five formulations required for the purpose of testing.
● Data Source:
CranContrib
● Keywords: latin square design
● Alias: rocket
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An engineer wants to find out if the cotton weight percentage in a synthetic fiber effects the tensile strength. Towards this, the cotton weight percentage is fixed at 5 different levels of 15, 20, 25, 30, and 35. Each level of the percentage is assigned 5 experimental units and the tensile strength is measured on each of them. The randomization is specified in the Run_Number column. The goal of the engineer is to investigate if the tensile strength is same across the cotton weight percentage.
providing 
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