-
Notifications
You must be signed in to change notification settings - Fork 23
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
ols_step_forward_p(...) problem using the funtion ols_step_forward_p #200
Comments
Hi @Molina-Valero, I think we have fixed a similar issue some time back but am not sure.. Can you install the development version from GitHub and check if you still get the error?
I will look into it if the error still persists after using the development version of the package. |
Thank you for your help, but still have the same issue after installing the develpment version (0.6.0). Sorry |
No issues.. While I look into this, let me know if you can share the data. It will help in debugging the error. |
Thank you! I am going to share the data later |
Sure |
Please install the develop branch of olsrr from GitHub for the fix:
|
Hello,
Please, could you help me with the next issue?:
I am getting the next error using the function ols_step_forward_p:
Error in if (pvals[minp] <= penter) { : the condition has length > 1
In addition: Warning messages:
1: In anova.lm(fullmodel) :
ANOVA F-tests on an essentially perfect fit are unreliable
2: In anova.lm(full_model) :
ANOVA F-tests on an essentially perfect fit are unreliable
3: In anova.lm(full_model) :
ANOVA F-tests on an essentially perfect fit are unreliable
4: In anova.lm(fullmodel) :
ANOVA F-tests on an essentially perfect fit are unreliable
5: In anova.lm(full_model) :
ANOVA F-tests on an essentially perfect fit are unreliable
6: In anova.lm(fullmodel) :
ANOVA F-tests on an essentially perfect fit are unreliable
The code I am runing is:
The text was updated successfully, but these errors were encountered: