On 7/15/08, Angila Albaros <[EMAIL PROTECTED]> wrote:
>
> Dear Sir,
> Thanks for your reply but my data is very huge 100 x 550 (
> for x ) and 100 x 1010 ( for y). So, I think that time , I need to take one
> column of x ($x1)and do multiple regreesion with y data set.i.e x1 will be
> my response and y data set is predictor, then $x2 with whole y data set and
> so on. Can I use some loop ? if yes how? Just for an example, I have put
> this example.
>
>
> Thanks and regards
>
> Angila A.
>
>
> On 7/15/08, Patrick Burns <[EMAIL PROTECTED]> wrote:
>>
>> That can be accomplished with 8 keystrokes.
>> A hint is to do the 4 keystrokes:
>> ?lm
>>
>>
>> Patrick Burns
>> [EMAIL PROTECTED]
>> +44 (0)20 8525 0696
>> http://www.burns-stat.com
>> (home of S Poetry and "A Guide for the Unwilling S User")
>>
>> Angila Albaros wrote:
>>
>>> Hello all,
>>> I am new to r programmeand need help. I want to do
>>> multiple linear regression analysis. say, I have two matrix 'x' and 'y'.
>>> I
>>> want, 'x' as my response variable and 'y' as predictor.
>>> Each time one column of 'x' will be the response, say x[,1], then next
>>> x[,2]
>>> and so on. And also I need to store the coefficients in a matrix form.
>>> Please help me.
>>>
>>>
>>>
>>>
>>>
>>>
>>>> x
>>>>
>>>>
>>> [,1] [,2] [,3] [,4]
>>> [1,] -1 0 0 0
>>> [2,] 0 -1 0 0
>>> [3,] 0 0 -1 0
>>> [4,] 0 0 0 -1
>>>
>>>
>>>
>>>
>>>
>>>> y
>>>>
>>>>
>>> [,1] [,2] [,3] [,4]
>>> [1,] 0.6748156 0.266461216 -0.6883143 2.1332456
>>> [2,] 0.5668101 0.295578807 0.1743760 0.4730689
>>> [3,] -2.9465207 -2.313246341 -0.6060058 0.6236515
>>> [4,] -1.5882276 0.002852312 -1.3152300 0.9082773
>>>
>>> Thanks in advance
>>> Angila A.
>>>
>>> [[alternative HTML version deleted]]
>>>
>>> ______________________________________________
>>> R-help@r-project.org mailing list
>>> https://stat.ethz.ch/mailman/listinfo/r-help
>>> PLEASE do read the posting guide
>>> http://www.R-project.org/posting-guide.html<http://www.r-project.org/posting-guide.html>
>>> and provide commented, minimal, self-contained, reproducible code.
>>>
>>>
>>>
>>>
>>
>
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