# Rearrange a matrix of data to Map LinearModelFit?

GROUPS:
 Hello, CommunityI have built the following matrix (10,10) of data xdata = Table[RandomVariate[NormalDistribution[], n], 10]; \[Epsilon]data = Table[RandomVariate[NormalDistribution[0, RandomChoice[{1/3, 1, 3}]], n], 10]; \[Beta]data = Table[RandomChoice[{1/3, 1, 3}, n], 10]; ydata = xdata \[Beta]data + \[Epsilon]data; I rearranged the data according to data = Table[Transpose[{ydata[[k]], xdata[[k]]}], {k, 10}]; But when I map LinearModelFit to estimate 10 equations like below, lsFunc = LinearModelFit[#, x, x] & /@ data It doesn't work {:^(Can someone please let me know my mistake and how to fix it?Also, how can I Map properties to the LinearModelFit results? For example, I want to extract the list of "BestFitParameters".
 OK, it wasn't working then but it's working now...Go figure!I still need help with Mapping the properties of LinearModelFit to the results. The following, for example, doesn't work: parametersLs = Map[lsFunc["BestFitParameters"], lsFunc] I would appreciate any help. Thanks in advance,Thad
 OK, this worked like a charm: Table[lsFunc[[j]]["BestFitParameters"], {j, 10}] Cheers,Thad
 You can also get the parameters with this: Through[lsFunc["BestFitParameters"]] It is equivalent to Table[[lsFunc[[k]]["BestFitParameters"], {k, 10}].By the way, you can also construct data like this: data = Transpose[{ydata, xdata}, {3, 1, 2}];