[R] Multivariate linear regression

like y = x + 0.01Normal(mu,sigma2) i.e. a small noise (data observed in a lab). But linear regressions are bad for large noise, like typical market (or survey) data. Thank you, Nagu __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman

Re: [R] Multivariate linear regression

of feeding some random variables as predictors in X. Thank you again, Nagu P.S. Why is that pattern recognition is all about finding patterns that can not be seen easily, huh? On 4/5/06, Berton Gunter [EMAIL PROTECTED] wrote: Ummm... If y is unrelated to x, then why would one expect any reasonable

[R] linear regression of verydispersed data

arithmetic operations (+, -, *, / etc) and some transformations (like sin, cos, exp) as input and evaluates a final expression of Y = f(X). Is there any such algorithm or a related one in R? I welcome your comments and any such references to existing algorithms in R. Thank you, Nagu

[R] CLuster analysis with only nominal variables

. Thank you, Nagu __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html

[R] Curve fitting

to estimate this closed form transformation? It could involve any trug, algebraic functions etc... Thank You, Nagu __ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R