README.md

In DanielWilliamsS/simpleLS: Implements a simple least squares function

simpleLS

Simple least squares regression package

An example package used for Statistical Computing 1 in the COMPASS CDT. This package can fit least squares regression to a dataset, obtain coefficients and use those coefficents to predict for a new dataset.

To see the usage of this package, see the following example using the prostate cancer dataset from the lasso2 package. Firstly, starting by fitting the model:

```{r, eval=FALSE} library(lasso2) data(Prostate) fit = LS.model(lpsa ~ lcavol, data = Prostate)

The output `fit` can be passed into `LS.plot` and `LS.predict`.
```{r}
head(LS.predict(fit))
LS.plot(fit, var="lcavol")

DanielWilliamsS/simpleLS documentation built on Jan. 7, 2020, 3:31 p.m.