Re: [R] Dealing with large nominal predictor in sem package

2007-04-09 Thread John Fox
- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of [EMAIL PROTECTED] Sent: Sunday, April 08, 2007 11:07 PM To: r-help@stat.math.ethz.ch Subject: [R] Dealing with large nominal predictor in sem package Hi, I am using tsls function from sem package to estimate a model which

Re: [R] Dealing with large nominal predictor in sem package

2007-04-09 Thread adschai
PROTECTED] On Behalf Of [EMAIL PROTECTED] Sent: Sunday, April 08, 2007 11:07 PM To: r-help@stat.math.ethz.ch Subject:! [R] Dealing with large nominal predictor in sem packageHi, I am using tsls function from sem package to estimate a model which includes large number of data. Among its

Re: [R] Dealing with large nominal predictor in sem package

2007-04-09 Thread adschai
Hi John,Additional two questions on this sem package:(1) The tsls is based on maximum likelihood or OLS?(2) I am trying to find goodness of fit for the result of tsls. Somehow, I don't see it in the documentation. Would you please provide some examples? (3) If I would like to diagnostic of

Re: [R] Dealing with large nominal predictor in sem package

2007-04-09 Thread John Fox
Dear adschai, -Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] Sent: Monday, April 09, 2007 7:33 PM To: John Fox Cc: r-help@stat.math.ethz.ch Subject: Re: RE: [R] Dealing with large nominal predictor in sem package Hi John, Thank you. I think (2) from

Re: [R] Dealing with large nominal predictor in sem package

2007-04-09 Thread John Fox
Dear adschai, -Original Message- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] Sent: Monday, April 09, 2007 8:30 PM To: John Fox; r-help@stat.math.ethz.ch Subject: Re: RE: [R] Dealing with large nominal predictor in sem package Hi John, Additional two questions

[R] Dealing with large nominal predictor in sem package

2007-04-08 Thread adschai
Hi, I am using tsls function from sem package to estimate a model which includes large number of data. Among its predictors, it has a nominal data which has about 10 possible values. So I expand this parameter into 9-binary-value predictors with the coefficient of base value equals 0. I also