oneparam.lm: One parameter transformations for linear models
In akreutzmann/trafo: Estimation, Comparison and Selection of Transformations

The function transforms the dependent variable of a linear model using the one parameter transformations. The transformation parameter can either be estimated using different estimation methods or given.

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## S3 method for class 'lm'
oneparam(object, trafo, lambda = "estim", method = "ml",
  lambdarange, plotit = TRUE, custom_trafo = NULL, ...)

`object`	an object of type lm.
`trafo`	character that determines the selected transformation.
`lambda`	either a character named "estim" if the optimal transformation parameter should be estimated or a numeric value determining a given transformation parameter. Defaults to "estim".
`method`	a character string. Different estimation methods can be used for the estimation of the optimal transformation parameter: (i) Maximum likelihood approach ("ml"), (ii) Skewness minimization ("skew"), (iii) Kurtosis optimization ("kurt"), (iv) Divergence minimization by Kolmogorov-Smirnov ("div.ks"), by Cramer-von-Mises ("div.cvm") or by Kullback-Leibler ("div.kl"). Defaults to "ml".
`lambdarange`	a numeric vector with two elements defining an interval that is used for the estimation of the optimal transformation parameter. Defaults to `c(-2, 2)`.
`plotit`	logical. If `TRUE`, a plot that illustrates the optimal transformation parameter or the given transformation parameter is returned.
`custom_trafo`	a list that determines a one parameter transformation and the standardized one parameter transformation.
`...`	other parameters that can be passed to the function.