| formula | a formula in Wilkinson-Rogers notation; response ~ ... where ... contains terms corresponding to variables in the environment or in the data frame specified by the data argument |
| data | data frame containing the response and predictor variables |
| subset | a vector specifying a subset of observations to be used: may be expressed as a logical statement in terms of the variables in data |
| weights | analytical weights (see Weights section above) |
| na.action | how to handle missing (NA) values: see ?na.action |
| method | how to perform the fitting. Only choices are "qr" or "model.frame" (the latter returns the model frame without fitting the model, identical to specifying model=TRUE) |
| model | whether to store the model frame in the fitted object |
| x | whether to store the model matrix in the fitted object |
| y | whether to store the model response in the fitted object |
| qr | whether to store the QR decomposition in the fitted object |
| singular.ok | whether to allow singular fits, models with collinear predictors (a subset of the coefficients will automatically be set to NA in this case |
| contrasts | a list of contrasts to be used for particular factors in the model; see the contrasts.arg argument of ?model.matrix.default. Contrasts can also be set with options() (see the contrasts argument) or by assigning the contrast attributes of a factor (see ?contrasts) |
| offset | used to specify an a priori known component in the model. May also be specified as part of the formula. See ?model.offset |
| ... | additional arguments to be passed to lower-level fitting functions (lm.fit() or lm.wfit()) |
