glmvector: GLM vector
In 3inar/einr: Different Functions That I Keep Needing

Fits univariate GLMs for each of the predictors in your data set. Assumes that each column is a predictor.

1	glmvector(x, y, family = gaussian, swapxy = F)

`x`	A predictor matrix with samples in the rows.
`y`	A response vector.
`family`	A description of the error distribution/link function for the glm. For more info see the documentation for `glm`.
`swapxy`	A logical value indicating that instead of regressing `y` on each column in `x`, you would like to regress the columns in `x` on `y`.

an object of class "glmvector" with the following components:

`glms`	a list of univariate glms corresponding to the predictors in `x`.
`pvalues`	the p-values from the univariate regressions.
`slopes`	the estimated slopes from the regressions.
`names`	predictor names. Basically `colnames(x)`