# print.glmnet

From glmnet v1.8-5
by Trevor Hastie

##### print a glmnet object

Print a summary of the glmnet path at each step along the path.

- Keywords
- models, regression

##### Usage

```
## S3 method for class 'glmnet':
print(x, digits = max(3, getOption("digits") - 3), ...)
```

##### Arguments

- x
- fitted glmnet object
- digits
- significant digits in printout
- ...
- additional print arguments

##### Details

The call that produced the object `x`

is printed, followed by a three-column
matrix
with columns `Df`

, `%dev`

and `Lambda`

. The `Df`

column is the number of nonzero coefficients (Df is a reasonable
name only for lasso fits). `%dev`

is the percent deviance
explained (relative to the null deviance).

##### Value

- The matrix above is silently returned

##### References

Friedman, J., Hastie, T. and Tibshirani, R. (2008)
*Regularization Paths for Generalized Linear Models via Coordinate
Descent*

##### See Also

`glmnet`

, `predict`

and `coef`

methods.

##### Examples

```
x=matrix(rnorm(100*20),100,20)
y=rnorm(100)
fit1=glmnet(x,y)
print(fit1)
```

*Documentation reproduced from package glmnet, version 1.8-5, License: GPL-2*

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