Description Usage Arguments Details Value Note References See Also Examples
CCRM()
is used to fit a linear regression model based on the inequality constraints over the range variables.(Lima Neto and De Carvalho, 2010)
1 |
formula |
an object of class |
data |
an data frame containing the variables in the model. |
The disadvantages of the CRM model is that the predicted valu of the range model may be negative. Similar to Center and Range Method(CRM), but adds constraint condition that all estimative of the parameters of the range's model are positive.(based on inequality constraints) There is no constraints over the parameters estimates for the center point regression equation.
coefficients.Center |
Coefficients for the Center variable. |
coefficeints.Range |
Coefficients for the Range variable. |
fitted.values |
The fitted values for the lower and upper interval bound. |
residuals |
The residuals for the lower and upper interval bound. |
In dataset, a pair of the interval variables should always be composed in order from lower to upper bound. In order to apply this function, the data should be composed as follows:
y_L | y_U | x1_L | x1_U | x2_L | x2_U |
y_L1 | y_U1 | x_L11 | x_U11 | x_L12 | x_U12 |
y_L2 | y_U2 | x_L21 | x_U21 | x_L22 | x_U22 |
y_L3 | y_U3 | x_L31 | x_U31 | x_L32 | x_U32 |
y_L4 | y_U4 | x_L41 | x_U41 | x_L42 | x_U42 |
y_L5 | y_U5 | x_L51 | x_U51 | x_L52 | x_U52 |
The upper limit value of the variable should be unconditionally greater than the lower limit value. Otherwise, it will be output as NA
or NAN
, and the value can not be generated.
Lima Neto, E.A. and De Carvalho, F.A.T(2010), Constrained linear regression models for symbolic interval-valued variables Computational Statistics and Data Analysis, 54, 333-347
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